Geological exploration method and device based on intrinsic subatomic wave radiation characteristics of matter

Abstract

The embodiment of the application provides a geological exploration method and device based on the radiation characteristics of the intrinsic subatomic wave of a substance, which comprises the following steps: obtaining remote sensing satellite data by setting the specific range of a target mining area, a scale, a shooting angle, a time period and a wave band, and determining the original negative of the remote sensing satellite corresponding to the exploration area; performing radiation operation on the original negative according to a preset subatomic field generator, performing image enhancement processing on the target substance radiation image according to a nonlinear algorithm, and determining the corresponding target substance digital map; determining the corresponding three directions according to the digital map, determining the corresponding three digital images according to the three directions respectively, performing target substance inversion calculation and target substance model establishment operation according to the three digital images, and determining the corresponding target substance mathematical model to realize the visualization of the target substance. The application can capture the subatomic radiation of the crust mineral elements based on the satellite, detect and visualize the minerals by using the subatomic characteristics, and improve the efficiency and accuracy of geological exploration.

Description

Technical Field

[0001] This application relates to the field of data processing, specifically to a geological exploration method and apparatus based on the intrinsic subatomic wave radiation characteristics of matter. Background Technology

[0002] Existing methods for exploring underground rocks and minerals (deposits) mainly include geological exploration, geophysical exploration, geochemical exploration, and drilling engineering. These methods each have their own characteristics and are suitable for different exploration purposes and geological conditions.

[0003] Geological exploration involves systematic geological observation and measurement to create geological maps at a specific scale, in order to ascertain the geological structural characteristics and geological conditions for the formation and occurrence of minerals in the work area. However, with social development, the demand for mineral resources is increasing, and the existing reserves of shallow mineral resources can no longer meet the needs of social development. Mineral resource exploration urgently needs to move towards deeper deposits, which limits the development of this method.

[0004] Geophysical exploration is a method of finding and exploring mineral deposits by utilizing the differences in the physical characteristics of geological bodies. It involves using instruments to observe data such as gravity, magnetic fields, electric fields, and electromagnetic fields on the Earth's surface to analyze the morphology of deep geological bodies. However, the biggest drawback of this method is that its theoretical basis is a multi-solution equation, meaning the results of the method's detection are subject to multiple interpretations. This limits its ability to explore deeper mineral deposits.

[0005] Geochemical exploration studies the distribution of various elements in the Earth's crust and their migration and enrichment patterns during various geological processes. Through systematic sampling and analysis, it aims to discover the dispersed halos formed when ore-forming elements are enriched, thereby achieving the goal of mineral exploration. However, geochemical exploration also has significant limitations. While elements enrich in the Earth's crust to form ore bodies, these anomalies can migrate over millions of years due to geological movements and groundwater transport, causing significant discrepancies between the geochemical anomalies we delineate and the actual location of the ore body.

[0006] Other technical methods, such as remote sensing, are difficult to interpret, which limits their application in mineral exploration.

[0007] In summary, while numerous geological exploration methods exist, each has its limitations. They suffer from ambiguity and low accuracy in the exploration of underground rocks and minerals (ore deposits), and are unable to adapt to the complex changes that ore deposits and underground minerals undergo over millennia. Therefore, there is an urgent need to develop a novel geological exploration method based on the intrinsic subatomic wave radiation characteristics of materials to overcome the ambiguity of mineral exploration and improve the accuracy and efficiency of underground mineral exploration. Summary of the Invention

[0008] To address the problems in the existing technology, this application provides a geological exploration method and apparatus based on the intrinsic subatomic wave radiation characteristics of matter. It can improve the efficiency and accuracy of geological exploration by capturing the subatomic radiation of crustal mineral elements by satellite and utilizing the subatomic characteristics for mineral detection and visualization.

[0009] To solve at least one of the above problems, this application provides the following technical solution:

[0010] In a first aspect, this application provides a geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter, comprising:

[0011] The specific scope of the target mining area is determined. Based on the specific scope, the scale is set, the shooting angle is set, the time period is set, and the band is set, remote sensing satellite data acquisition is performed to determine the corresponding remote sensing satellite digital image of the exploration area. The remote sensing satellite digital image of the exploration area is processed by special mathematical calculations. The digital image obtained after the special mathematical calculations is laser printed and calibrated to determine the corresponding remote sensing satellite original film of the exploration area.

[0012] The original film is irradiated using a preset subatomic field generator to determine the corresponding target material radiation image. The target material radiation image is then enhanced using a nonlinear algorithm to determine the corresponding enhanced radiation image. Finally, the enhanced radiation image is digitized using preset geographic coordinates and a preset vector algorithm to determine the corresponding target material digital map.

[0013] Based on the digital map, three corresponding directions are determined. Radiometric operations are then performed on the original film according to these three directions to obtain three corresponding digital images. Target material inversion calculations and target material model establishment operations are then performed based on these three digital images to determine the corresponding mathematical model of the target material and achieve target material visualization.

[0014] Furthermore, the step of acquiring remote sensing satellite data based on the specific range, set scale, set shooting angle, set time period, and set band to determine the corresponding remote sensing satellite digital image of the exploration area includes:

[0015] The scale of the remote sensing satellite image is selected according to the specific range to determine the corresponding set scale, wherein the set scale includes at least one of large scale, medium scale and small scale.

[0016] The shooting angle of the remote sensing satellite image is selected according to the specific range to determine the corresponding set shooting angle, wherein the selection range of the set shooting angle is 0-180°;

[0017] The time period of the remote sensing satellite image is selected according to the specific range to determine the corresponding set time period, wherein the time interval of the set time period is 30 minutes.

[0018] The bands of the remote sensing satellite images are selected according to the specific range to determine the corresponding set bands, wherein the set bands include at least one of radio frequency, optical, shortwave infrared, longwave infrared and ultraviolet.

[0019] Remote sensing satellite data acquisition operations are performed based on the set scale, shooting angle, time period, and band to determine the corresponding remote sensing satellite digital image of the exploration area.

[0020] Further, the step of performing specialized mathematical calculations on the remote sensing satellite digital images of the exploration area, and then performing laser printing and calibration operations on the digital images obtained after the specialized mathematical calculations to determine the corresponding original remote sensing satellite negatives of the exploration area, includes:

[0021] Fourier transform and image fusion operations are performed on the remote sensing satellite digital images of the survey area to determine the corresponding high-precision remote sensing satellite digital images;

[0022] Laser printing and calibration operations are performed on the high-precision remote sensing satellite digital images to determine the corresponding original remote sensing satellite negatives for the exploration area.

[0023] Further, the step of performing a radiation operation on the original film using a preset subatomic field generator to determine the corresponding target material radiation image includes:

[0024] The original film is irradiated using a subatomic field emitted by a preset subatomic field generator that has the same radiation frequency as the target material.

[0025] Based on the radiation resonance of the target material obtained after the radiation operation by the preset photosensitive film, the corresponding radiation image of the target material is determined.

[0026] Further, the step of performing image enhancement processing on the radiation image of the target material according to a nonlinear algorithm to determine the corresponding enhanced radiation image includes:

[0027] The radiation image of the target substance is denoised using a nonlinear filtering algorithm to determine the corresponding first radiation image of the substance.

[0028] The first material radiation image is subjected to image feature extraction operation using a nonlinear image processing algorithm to determine the corresponding enhanced radiation image.

[0029] Furthermore, the enhanced radiation image is digitized according to preset geographic coordinates and a preset vector algorithm to determine the corresponding digital map of the target material;

[0030] The enhanced radiometric image is calibrated in planar position according to preset geographic coordinates;

[0031] The image after the planar position calibration operation is vectorized according to the preset vector algorithm to determine the corresponding vectorized radiation image. The vectorized radiation image is then digitized to determine the corresponding target material digital map.

[0032] Furthermore, determining the corresponding three directions based on the digital map includes:

[0033] Determine the corresponding vertical direction based on the digital map;

[0034] Based on the coordinates in the digital map, the corresponding contour anomaly map is determined, and the contour anomaly map is subjected to a cross-sectional cutting operation to determine the trend and dip angle of the corresponding target material.

[0035] The corresponding vertical tilt direction and parallel tilt direction are determined based on the tilt angle.

[0036] Furthermore, the step of performing radiometric operations on the original film according to the three directions to determine the corresponding three digital images includes:

[0037] Perform a radiometric operation on the original film according to the vertical direction to determine the corresponding vertical radiometric image;

[0038] Perform a radiometric operation on the original film according to the vertical tilt direction to determine the corresponding vertical tilt radiometric image;

[0039] The original film is radiometrically processed according to the parallel tilt angle direction to determine the corresponding parallel tilt angle radiometric image.

[0040] Furthermore, the step of performing target substance inversion calculations and target substance model establishment operations based on the three digital images to determine the corresponding target substance mathematical model includes:

[0041] The corresponding burial depth of the target material is determined based on the vertical tilt radiation image and the vertical radiation image.

[0042] The thickness of the target material is determined based on the parallel tilt angle radiation image.

[0043] Based on the burial depth and thickness of the target material, a corresponding mathematical model for the target material is determined.

[0044] Secondly, this application provides a geological exploration device based on the intrinsic subatomic wave radiation characteristics of matter, comprising:

[0045] The original negative customization module is used to determine the specific range of the target mining area, and to perform remote sensing satellite data acquisition operations based on the specific range, set scale, set shooting angle, set time period and set band to determine the corresponding remote sensing satellite digital image of the exploration area. The remote sensing satellite digital image of the exploration area is subjected to special mathematical calculation processing, and the digital image obtained after the special mathematical calculation processing is subjected to laser printing and calibration operations to determine the corresponding remote sensing satellite original negative of the exploration area. The historical form usage data includes at least one of historical form performance data and historical form structure change data.

[0046] The radiation image extraction module is used to perform radiation operation on the original film according to a preset subatomic field generator to determine the corresponding target material radiation image, perform image enhancement processing on the target material radiation image according to a nonlinear algorithm to determine the corresponding enhanced radiation image, and perform digitization operation on the enhanced radiation image according to preset geographic coordinates and a preset vector algorithm to determine the corresponding target material digital map.

[0047] The mineral mathematical model construction module is used to determine three corresponding directions based on the digital map, perform radiometric operations on the original film according to the three directions to determine three corresponding digital images, perform target material inversion calculations and target material model establishment operations based on the three digital images, determine the corresponding target material mathematical model, and realize the visualization of the target material.

[0048] Thirdly, this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter.

[0049] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter.

[0050] Fifthly, this application provides a computer program product, including a computer program / instructions that, when executed by a processor, implement the steps of the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter.

[0051] As can be seen from the above technical solution, this application provides a geological exploration method and apparatus based on the intrinsic subatomic wave radiation characteristics of matter. It involves acquiring remote sensing satellite data by specifying the target mining area, setting a scale, setting the shooting angle, setting the time period, and setting the waveband, thus determining the original remote sensing satellite image of the corresponding exploration area. The original image is then subjected to radiation processing using a pre-set subatomic field generator. Image enhancement processing of the target material's radiation image is performed using a nonlinear algorithm to determine the corresponding digital map of the target material. Based on the digital map, three corresponding directions are determined, and three corresponding digital images are generated for each direction. Target material inversion calculations and target material model establishment are performed based on the three digital images to determine the corresponding mathematical model of the target material, thereby achieving target material visualization. This allows for mineral detection and visualization based on satellite capture of subatomic radiation of crustal mineral elements, utilizing subatomic characteristics, thus improving the efficiency and accuracy of geological exploration. Attached Figure Description

[0052] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 This is one of the flowcharts illustrating a geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter in this application embodiment;

[0054] Figure 2 This is the second flowchart illustrating the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter in this application embodiment;

[0055] Figure 3 This is the third flowchart illustrating the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter in this application embodiment;

[0056] Figure 4 This is the fourth flowchart illustrating the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter in the embodiments of this application.

[0057] Figure 5 This is the fifth flowchart illustrating the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter in the embodiments of this application.

[0058] Figure 6 This is the sixth flowchart illustrating the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter in this application embodiment;

[0059] Figure 7This is the seventh flowchart illustrating the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter in the embodiments of this application.

[0060] Figure 8 This is the eighth flowchart illustrating the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter in this application embodiment.

[0061] Figure 9 This is the ninth flowchart illustrating the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter in the embodiments of this application.

[0062] Figure 10 This is a structural diagram of a geological exploration device based on the intrinsic subatomic wave radiation characteristics of matter in an embodiment of this application.

[0063] Figure 11 This is a schematic diagram of the structure of the electronic device in the embodiments of this application.

[0064] Figure label:

[0065] Electronic device 9600, central processing unit 9100, memory 9140, communication module 9110, input unit 9120, audio processor 9130, display 9160, power supply 9170, buffer memory 9141, application / function storage unit 9142, data storage unit 9143, driver storage unit 9144, antenna 9111, speaker 9131, microphone 9132. Detailed Implementation

[0066] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0067] The acquisition, storage, use, and processing of data in this application all comply with the relevant provisions of national laws and regulations.

[0068] Currently, there are many methods for geological exploration, but each has its own shortcomings. The exploration of underground rocks and minerals (ore deposits) suffers from multiple solutions, low accuracy, and an inability to adapt to the complex changes in ore deposits and underground minerals over thousands of years. This application provides a geological exploration method and apparatus based on the intrinsic subatomic wave radiation characteristics of materials. It involves acquiring remote sensing satellite data by specifying the target mining area, setting a scale, shooting angle, time period, and wavelength, and determining the original remote sensing satellite image of the corresponding exploration area. A pre-set subatomic field generator is used to perform radiation operations on the original image, and a nonlinear algorithm is used to enhance the radiation image of the target material, determining the corresponding digital map of the target material. Based on the digital map, three directions are determined, and three corresponding digital images are generated for each direction. Based on these three digital images, target material inversion calculations and target material model establishment operations are performed to determine the corresponding mathematical model of the target material, achieving target material visualization. This allows for mineral detection and visualization based on satellite capture of subatomic radiation of crustal mineral elements, utilizing subatomic characteristics, thus improving the efficiency and accuracy of geological exploration.

[0069] To improve the efficiency and accuracy of geological exploration by utilizing the subatomic radiation characteristics of crustal mineral elements captured by satellites for mineral detection and visualization, this application provides an embodiment of a geological exploration method based on the intrinsic subatomic wave radiation characteristics of materials. See [link to embodiment]. Figure 1 The geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter specifically includes the following:

[0070] Step S101: Determine the specific range of the target mining area, and perform remote sensing satellite data acquisition operations based on the specific range, set scale, set shooting angle, set time period and set band to determine the corresponding remote sensing satellite digital image of the exploration area. Perform special mathematical calculation processing on the remote sensing satellite digital image of the exploration area, and perform laser printing and calibration operations on the digital image obtained after the special mathematical calculation processing to determine the corresponding remote sensing satellite original film of the exploration area.

[0071] Optionally, in this embodiment, the purpose of this step is to preprocess the remote sensing satellite data to obtain remote sensing satellite images that can be further processed with special lasers in the future.

[0072] Optionally, in this embodiment, the specific range of the target mining area is determined, and remote sensing satellite data acquisition operations are performed based on the specific range, set scale, set shooting angle, set time period and set band to determine the corresponding remote sensing satellite digital image of the exploration area.

[0073] Specifically, the exact scope of the target mining area needs to be clearly defined, including the specific geographical scope and location of the exploration work, as well as the latitude and longitude coordinates and the approximate area.

[0074] Specifically, in remote sensing satellite data acquisition operations, the required satellite data type, resolution, band, and temporal resolution are determined based on the survey objectives. Satellites capable of providing the necessary scale, shooting angle, temporal resolution, and band are selected according to the requirements. This may involve high-resolution commercial satellites (such as the GeoEye and WorldView series), scientific research satellites (such as the Landsat and Sentinel series), or mission-specific satellites.

[0075] Specifically, a scale is set, and satellite imagery of different scales is customized according to the needs of the survey. This may involve extracting and synthesizing images of different scales from high-resolution satellite data. Specialized software (such as ERDAS IMAGINE, ArcGIS, etc.) is used for image scaling, cropping, and stitching to meet the requirements of different scales.

[0076] Understandably, large-scale satellite imagery, while depicting a small area, offers detailed information and is suitable for precise measurement and detailed analysis. In mineral exploration, large-scale satellite imagery can clearly display detailed information such as the topography and geological structure of a mining area, helping to discover direct prospecting indicators such as ore outcrops and mineralization alteration zones.

[0077] Medium-scale satellite imagery: falling between large-scale and small-scale imagery, it is suitable for regional surveys covering a medium area. In exploration work, medium-scale satellite imagery can provide relatively comprehensive regional geological background information, which helps to understand the tectonic framework, distribution of igneous rocks, etc., of the mining area.

[0078] Small-scale satellite imagery: Represents a broad area and provides a general overview of geographic information. Small-scale satellite imagery can showcase the geological structure and geomorphological features of the entire exploration area or even a larger region, helping to grasp the geological background and prospecting direction of the mining area from a macroscopic perspective.

[0079] Specifically, the shooting angle is set to capture one image every 3 degrees within the range of 0-180°, ensuring the satellite can adjust its shooting angle to cover the entire range. Considering the limitations of satellite orbit and attitude control, this may require multiple flybys or combining data from multiple satellites to achieve this.

[0080] Understandably, low-angle photography makes the subject appear taller and more imposing, increasing visual impact. In mineral exploration, low-angle satellite imagery can highlight the elevation changes in the mining area, enhancing the understanding of its topographical features.

[0081] High-angle shooting: Showcasing the entire scene and its details, adding depth to the image. Satellite images taken from high angles can comprehensively display the layout and geological features of the mining area, helping to understand the overall geological conditions of the mining area.

[0082] Multi-angle photography: By shooting from different angles, multi-perspective information about the mining area can be obtained, which helps to gain a more comprehensive understanding of the geological features and ore body morphology of the mining area. This is of great significance for the 3D modeling of mineral deposits and the analysis of ore body morphology.

[0083] Specifically, a time period is set, and satellite images are taken every 30 minutes for 24 hours a day. This requires the satellite to have high-frequency revisit capability or to utilize multiple satellites for collaborative observation. It is essential to ensure that the satellite can take stable pictures within the specified time period and record the precise time of each shot.

[0084] It is understandable that satellite images from different time periods can have the following observational functions:

[0085] Time series analysis, by acquiring satellite imagery from different time periods, allows for the analysis of dynamic changes in a mining area. For example, in mineral exploration, it can analyze changes in vegetation cover and surface water systems to infer geological processes and mineralization.

[0086] Environmental change monitoring: Satellite imagery from different time periods can also be used to monitor environmental changes in mining areas, such as soil erosion and geological disasters. This is of great significance for assessing environmental risks in mining areas and protecting the ecological environment.

[0087] Specifically, the satellite is configured with five bands: radio frequency, optical, shortwave infrared, longwave infrared, and ultraviolet. This requires the satellite to have multispectral or hyperspectral imaging capabilities. Based on the satellite's band coverage, the band closest to the required band is selected for data acquisition.

[0088] Understandably, the optical band is primarily used to acquire visible and infrared information about the mining area, reflecting the surface cover and vegetation growth. This is of great significance for understanding the natural environment and human activities in the mining area.

[0089] Shortwave infrared band: Sensitive to the specific absorption characteristics of minerals, it is often used for mineral identification and lithological classification. In mineral exploration, shortwave infrared satellite imagery can reveal the absorption spectral characteristics of minerals, helping to discover mineralization alteration zones and ore body outcrops.

[0090] Long-wave infrared band: Primarily used to monitor surface temperature distribution and heat transfer processes. In mineral exploration, long-wave infrared satellite imagery can be used to study geothermal anomalies and underground hydrothermal activity in mining areas, providing clues for finding hydrothermal deposits.

[0091] Radio frequency and ultraviolet bands: Although not commonly used in conventional satellite remote sensing for mineral exploration, they have special application value under specific conditions (such as detecting underground pipelines and monitoring atmospheric composition).

[0092] In summary, satellite images of different scales, shooting angles, time periods, and frequency bands each have their own characteristics and roles in remote sensing exploration and monitoring. Together, they provide rich and comprehensive information support for mineral exploration and research in other fields.

[0093] Optionally, in this embodiment, the remote sensing satellite digital image of the exploration area is subjected to special mathematical calculation processing, and the digital image obtained after the special mathematical calculation processing is subjected to laser printing and calibration operations to determine the corresponding remote sensing satellite original film of the exploration area.

[0094] Optionally, in this embodiment, the specific mathematical processing includes:

[0095] 1. Noise reduction: Periodic noise will overlap on the source image, forming a series of spikes or bright spots, which can be eliminated by bandpass or slotted filtering methods; spike noise can be filtered by Fourier transform.

[0096] 2. Eliminate bad lines and bands: Bad lines and bands in remote sensing images are generally eliminated by using Fourier transform and low-pass filtering.

[0097] 3. Thin cloud processing: Thin clouds appearing in remote sensing images are reduced due to weather conditions.

[0098] 4. Shadow processing: Due to the sun's altitude, the shadows of mountains appearing in remote sensing images can be eliminated using the ratio method.

[0099] 5. Geometric Correction: To ensure accurate positioning, acquired remote sensing images must undergo geometric correction before use. This involves using existing accurate geographic coordinates and projection information to correct the original remote sensing image, giving it accurate geographic coordinates. In areas with significant topographic relief, orthorectification is also necessary. This is done by using existing geographic reference data (topographic maps, control points, etc.) and digital elevation model (DEM) data to correct the original remote sensing image, eliminating or reducing image distortion caused by topographic relief.

[0100] 6. Image Enhancement: To enhance the readability of the ground feature information contained in remote sensing images, image enhancement processing is required. Histogram transformation is used to count the number of pixels of each brightness level in the image. The random distribution of pixel brightness should be a normal distribution. If the histogram is not normally distributed, it indicates that the image brightness distribution is too bright, too dark, or the brightness is too concentrated, resulting in low image contrast. The histogram needs to be adjusted to a normal distribution to improve image quality.

[0101] 7. Image Fusion: Different remote sensing data have different spatial resolution, spectral resolution, and temporal resolution. By fusing multi-source remote sensing data in a unified coordinate system and using certain algorithms to generate a set of synthetic images, the insufficient information in a single image can be compensated for, the application scope of the information can be expanded, and the accuracy of remote sensing image analysis can be improved.

[0102] Understandably, the purpose of specialized mathematical processing is to make the obtained remote sensing satellite digital images more accurate while ensuring that more information can be extracted.

[0103] Step S102: Perform radiation operation on the original film according to the preset subatomic field generator to determine the corresponding target material radiation image; perform image enhancement processing on the target material radiation image according to the nonlinear algorithm to determine the corresponding enhanced radiation image; perform digitization operation on the enhanced radiation image according to the preset geographic coordinates and preset vector algorithm to determine the corresponding target material digital map.

[0104] Optionally, in this embodiment, the purpose of this step is to subject the original film obtained above to subatomic field irradiation to extract the radiation image of the target material, providing a basis for subsequent visualization of the target material.

[0105] Optionally, in this embodiment, the original film is irradiated using a preset subatomic field generator to determine the corresponding radiation image of the target material.

[0106] Specifically, this step is conducted in a radioactive laboratory. The principle of radiation resonance is that when leptons in a material (such as rocks, ores, minerals, etc.) encounter energy fluctuations and resonate, they exhibit an energy difference response, thereby radiating a lepton field of a specific frequency. This radiation information can be captured and recorded by remote sensing equipment such as remote sensing satellites. Furthermore, when irradiated by a radiation source of a specific wavelength, the lepton field can absorb and re-emit radiant energy.

[0107] Since different substances have different subatomic field vibration frequencies, when extracting the subatomic resonance field, the vibration frequency of the subatomic field generator can be selected according to the vibration frequency of the target substance in the vibration frequency spectrum of different substances, and the subatomic distributed radiation resonance field can be obtained by irradiating remote sensing satellite images.

[0108] Next, the subatomic distributed radiation resonance field is projected onto a subatomic filter, and the target material radiation resonance is accurately extracted through the filter and the gel of the material to be retrieved arranged on the filter.

[0109] Subatomic filters selectively filter radiation signals of specific wavelengths or energies, thereby extracting lepton radiation characteristics associated with a target material (such as an ore body). This allows for clearer identification of target signals against complex backgrounds. In data visualization, subatomic filters can help generate clearer, more informative radiation images, enabling researchers to more intuitively understand the distribution and characteristics of ore bodies.

[0110] The gel for extracting substances can effectively concentrate minerals or compounds in target samples, facilitating subsequent analysis, especially the extraction of trace elements. It focuses on improving sample processing and detection sensitivity, and can be used in conjunction with techniques such as spectral analysis and chromatographic analysis to improve analytical efficiency and accuracy.

[0111] Photosensitive film can respond to radiation energy. By irradiating a target material with resonant radiation, the film can record these radiation signals. The selection of materials and processing methods for photosensitive film make it sensitive to subtle changes in radiation.

[0112] During the experiment, a pre-set radiation source (such as a laser or other high-energy radiation source) irradiates the photosensitive film. The purpose of this process is to enhance the signal, making the radiation characteristics of the target material more apparent. By using a suitable irradiation method, changes in radiation flux can be effectively recorded.

[0113] When photographic film receives a radiation signal, radiation resonance forms a corresponding image on the film. These images reflect the radiation characteristics of the target material, including radiation intensity and distribution patterns.

[0114] Optionally, the entire radiological test was conducted in three stages:

[0115] The original satellite image negatives are placed on the top layer, and the satellite image on the top layer is subjected to vertical irradiation through an external subatomic field generator;

[0116] A subatomic filter is placed in the middle layer to receive the resonance field of the top layer. The accuracy of the target resonance field is improved by the filter and the gel of the substance to be retrieved.

[0117] The photosensitive film is placed at the bottom layer, and by setting a radiation source at the bottom of the photosensitive film, the resonant field can be effectively imaged.

[0118] Preferably, the photosensitive film can be X-ray film, and the radiation source below the photosensitive film can be an ultraviolet radiation source.

[0119] Understandably, by successfully irradiating the original film with an atomic field generator through the above steps, a subatomic field resonance of the target material was formed, and the resonance field was received by the photosensitive film to form a radiation image of the target material on the film.

[0120] Optionally, in this embodiment, the radiation image of the target material is subjected to image enhancement processing according to a nonlinear algorithm to determine the corresponding enhanced radiation image.

[0121] Specifically, nonlinear algorithms are image nonlinear processing methods that refer to the use of nonlinear mathematical operations and algorithms to process images, thereby improving the quality and visualization effects of images.

[0122] More specifically, nonlinear processing includes the following key steps:

[0123] Image brightness and contrast adjustment: Through non-linear transformation, the brightness and contrast of the image are optimized to make the image of abnormal radiation intensity distribution clearer.

[0124] Noise Removal: Nonlinear filtering techniques are applied to remove noise from images and improve the overall image quality.

[0125] Feature description: Nonlinear image processing techniques are used for image edge detection, image segmentation, image enhancement, and image compression to better describe the features and structure in the image and improve the visual effect.

[0126] This step lays a solid foundation for subsequent digital map creation and mathematical model building, and can be considered a key step in visualization methods.

[0127] Optionally, in this embodiment, the enhanced radiation image is digitized according to preset geographic coordinates and a preset vector algorithm to determine the corresponding digital map of the target material.

[0128] Specifically, a GIS (Geographic Information System) program is used to perform planar position calibration on the nonlinearly processed images. This process ensures that the extracted radiation intensity images correspond to the geographic coordinate system, guaranteeing the accuracy of the data's spatial location. Position calibration enables the correct location of radiation anomalies within the actual geographic environment, thus providing a reliable geographic background for subsequent analysis.

[0129] Specifically, a geoscience vectorization program is used to vectorize the nonlinearly processed and calibrated images. This vectorization process converts raster images (pixel-based) into vector data (points, lines, and polygons), making the data more flexible and accurate in display and analysis. Vector data allows for more complex geological analysis and modeling; for example, it makes spatial analysis and overlay analysis easier, thus improving data usability.

[0130] As is understandable, vector data represents geographic information using points, lines, and polygons. For example, in mineral exploration, a radiation anomaly area in a mining region can be represented by a polygon, the boundary of which is formed by connecting multiple points (coordinates). Vector data typically has high accuracy because it uses coordinates to precisely locate specific geographic features.

[0131] Specifically, relevant data, including radiation flux density values, anomalous distribution areas, and anomalous location coordinates, are extracted from the vectorized images.

[0132] Anomaly radiation ranges are delineated based on radiation flux density values, and the extracted range-related data is converted into a digital format for storage and analysis by computer systems. This data is typically stored in tables or databases. Using a GIS (Geographic Information System), the digitized data is then used to create a digital map displaying the spatial distribution of radiation flux density.

[0133] Understandably, the above steps yield a digital map based on radiation flux density, which is computable and whose coordinates are calibrated with geographical coordinates. Mathematical models of the target ore body can be calculated and visualized using radiation flux density anomalies.

[0134] Step S103: Determine the three corresponding directions based on the digital map, perform radiometric operations on the original film according to the three directions respectively, determine the three corresponding digital images, perform target material inversion calculation and target material model establishment operations based on the three digital images, determine the corresponding target material mathematical model, and realize the visualization of the target material.

[0135] Optionally, in this embodiment, the three corresponding directions are determined based on the digital map.

[0136] Specifically, this digital map is formed by vertically radiating the original film using a subatomic generator, and this vertical direction is the first direction;

[0137] Connect the numbers with the same radiation energy in this digital map to form a radiation contour anomaly map of the target mineral. Cut the peak anomaly in this anomaly map into sections to restore the dip and dip angle of the target mineral. Draw the corresponding tangent line for the dip angle. The direction of the tangent line is the direction of the dip angle. At this time, determine the direction along the dip angle as the second direction and the direction perpendicular to the dip angle as the third direction.

[0138] Optionally, in this embodiment, the original film is subjected to radiative operation according to the three directions to determine the corresponding three digital images.

[0139] Specifically, after obtaining the above three directions, the original film is irradiated from the above three directions by a subatomic generator to obtain three corresponding radiation images. The image irradiated from the vertical direction is the vertical radiation image A, which is the radiation image of the target material obtained in step S102; the image obtained from the vertical tilt direction is the vertical tilt radiation image B; and the image obtained from the parallel tilt direction is the parallel tilt radiation image C.

[0140] It is understandable that the images obtained from the radiation in the above three directions appear as three ellipses of different sizes on the plane. At the same time, by repeating the above image digitization process, after the coordinates of the elliptical image are calibrated and vectorized and digitized, the target substance can be inverted and calculated through the coordinate points in the ellipse, a mathematical model of the target substance can be established, and the target substance can be visualized.

[0141] Optionally, in this embodiment, the target substance inversion calculation and target substance model establishment operation are performed based on the three digital images to determine the corresponding target substance mathematical model.

[0142] Specifically, the steps for target material inversion calculation are as follows:

[0143] The left vertex A1, right vertex A2, and center point O1 of the vertical radiation image A of the target material;

[0144] The left vertex B1, right vertex B2, and center point O2 of the vertical tilt radiation image B of the target material;

[0145] The left vertex C1, right vertex C2, and center point O3 of the parallel tilt radiation image C of the target material;

[0146] Calculate the distance D1 between points A1 and B1 based on their actual coordinates. The burial depth of the ore body roof is H1 = D1 / tg(θ).

[0147] Calculate the distance D2 between points A2 and B2 based on their actual coordinates. The burial depth of the ore body bottom plate is H2 = D2 / tg(θ).

[0148] The distance D between points O1 and O2 is calculated based on their actual coordinates. The burial depth of the ore body center point is H = D / tg(θ).

[0149] As described above, based on the movement characteristics of the two radiation anomalies, the burial depth H1 of the top plate, the burial depth H of the center point, and the burial depth H2 of the bottom plate of the target body (ore body) can be determined.

[0150] Based on the distance D3 between the left vertex C1 and the right vertex C2 of the parallel tilt radiation image of the target material, the thickness T = D3 of the target body (ore body) can be roughly inferred.

[0151] The parallel tilt angle radiation image of the target material is obtained by directing light from the target material body along the tilt angle direction. The distance between the vertices of the resulting ellipse can be used to estimate the thickness of the ore body.

[0152] After the above inversion calculation, the approximate occurrence and morphology of the target substance can be obtained.

[0153] Next, a corresponding mathematical model of the target material is constructed. The mathematical model includes anomaly number, element category, radiation flux density value (radiation intensity value), anomaly distribution area, anomaly location coordinates, anomaly distribution orientation, and anomaly depth range.

[0154] The model establishment process begins by numbering the extracted radiation anomaly data, assigning a unique identifier to each anomaly region. Anomaly numbering facilitates systematic management of each radiation anomaly, simplifying subsequent data processing and analysis. This process provides a clear record for later analysis, enabling explicit citation of specific anomaly data in discussions and reports.

[0155] Optionally, among the features mentioned above, elemental classification is determined based on radiation intensity and known geological characteristics to identify the elemental category of each anomalous area. Identifying elemental categories helps geologists understand the composition and properties of ore bodies. This is crucial for mineral exploration because different elemental distributions can indicate different types of deposits, thus influencing exploration strategies and methods.

[0156] Optionally, among the features mentioned above, the radiation flux density value is the radiation flux density value (radiation intensity value) for each anomalous region. The radiation flux density value is a key indicator for assessing the intensity of radiation anomalies and has a direct impact on subsequent analysis, visualization, and decision-making.

[0157] Optionally, among the above features, the anomalous distribution area refers to the area of ​​each radiation anomaly region. Understanding the anomalous distribution area helps geologists assess the size of mineral deposits, thereby enabling them to make reasonable development plans and resource assessments.

[0158] Optionally, among the above features, the coordinates of the anomalous location and the geographic coordinates of each anomalous area are recorded so that the anomalous area can be accurately located on the map, providing basic data for subsequent exploration and development.

[0159] Optionally, among the above features, the occurrence of anomalous distributions can be analyzed, including the geological characteristics of each anomalous area, such as dip and strike. Information on the occurrence of anomalous distributions is crucial for understanding the formation and evolution of ore bodies, helps predict the location of other possible ore bodies, and guides further exploration work.

[0160] Optionally, among the above features, the abnormal depth range, the depth range of each abnormal area, allows the exploration team to design drilling plans and select appropriate mining technologies more effectively by understanding the depth distribution of abnormalities.

[0161] For example, suppose a microlepton field radiation exploration is conducted in a mining area. After establishing a mathematical model, the following results are obtained:

[0162] Anomaly Number: This is used to number different radiation anomaly areas, such as "Anomaly 1", "Anomaly 2", etc.

[0163] Element category identification: "Anomaly 1" was found to mainly contain uranium, while "Anomaly 2" was mainly thorium.

[0164] Radiation flux density record: The radiation intensity of "Anomaly 1" is recorded as 150 Bq / m². 2 "Abnormality 2" is 80 Bq / m 2 .

[0165] Abnormal distribution area calculation: "Abnormal 1" area is 500 square meters, "Abnormal 2" area is 300 square meters.

[0166] Anomaly location coordinates record: "Anomaly 1" is located at (longitude X1, latitude Y1), and "Anomaly 2" is located at (longitude X2, latitude Y2).

[0167] Abnormal distribution attitude analysis: The analysis shows that "abnormal 1" has a NW-SE trend and a dip angle of 30 degrees.

[0168] Anomaly depth range estimation: The depth range of "Anomaly 1" is estimated to be 50-100 meters.

[0169] Through the above steps, a visualization model of mineral resources was established. The mathematical model automatically analyzes the distribution characteristics of anomalies, improving the efficiency and accuracy of geological exploration information visualization.

[0170] Understandably, determining the occurrence and depth of a target body (ore body) by analyzing the distribution characteristics of radiation anomalies from different angles is simpler and more accurate. Furthermore, due to the uniqueness of subatomic matter, it overcomes the limitations and multiple solutions of geophysical depth inversion calculations, thus improving the accuracy of the results.

[0171] This example demonstrates how this embodiment defines the target mining area requirements and selects suitable customized satellite data; how to construct satellite images and extract subatomic radiation anomalies from the images through subatomic resonance; and how to perform target mineral inversion and mathematical model establishment based on radiation anomalies to achieve visualization of underground target ores.

[0172] As described above, the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter provided in this application can acquire remote sensing satellite data by specifying the target mining area, setting a scale, setting an shooting angle, setting a time period, and setting a waveband, and determine the original remote sensing satellite image of the corresponding exploration area; perform radiation operation on the original image according to a preset subatomic field generator, perform image enhancement processing on the radiation image of the target material according to a nonlinear algorithm, and determine the corresponding digital map of the target material; determine the corresponding three directions according to the digital map, determine the corresponding three digital images according to the three directions, perform target material inversion calculation and target material model establishment operation according to the three digital images, determine the corresponding mathematical model of the target material, and realize the visualization of the target material. Thus, it can improve the efficiency and accuracy of geological exploration by using the subatomic radiation of crustal mineral elements captured by satellite and utilizing subatomic characteristics for mineral detection and visualization.

[0173] In one embodiment of the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter in this application, see [link to relevant documentation]. Figure 2 It can also specifically include the following:

[0174] Step S201: Select the scale of the remote sensing satellite image according to the specific range and determine the corresponding set scale, wherein the set scale includes at least one of large scale, medium scale and small scale.

[0175] Step S202: Select the shooting angle of the remote sensing satellite image according to the specific range, and determine the corresponding set shooting angle, wherein the selection range of the set shooting angle is 0-180°;

[0176] Step S203: Select the time period of the remote sensing satellite image according to the specific range, and determine the corresponding set time period, wherein the time interval of the set time period is 30 minutes;

[0177] Step S204: Select the band of the remote sensing satellite image according to the specific range and determine the corresponding set band, wherein the set band includes at least one of radio frequency, optical, shortwave infrared, longwave infrared and ultraviolet.

[0178] Step S205: Perform remote sensing satellite data acquisition operations according to the set scale, set shooting angle, set time period and set band to determine the corresponding remote sensing satellite digital image of the survey area.

[0179] Optionally, in this embodiment, the specific scope of the target mining area needs to be clearly defined, including the specific geographical scope and location of the exploration work, including latitude and longitude coordinates and the approximate area.

[0180] Specifically, in remote sensing satellite data acquisition operations, the required satellite data type, resolution, band, and temporal resolution are determined based on the survey objectives. Satellites capable of providing the necessary scale, shooting angle, temporal resolution, and band are selected according to the requirements. This may involve high-resolution commercial satellites (such as the GeoEye and WorldView series), scientific research satellites (such as the Landsat and Sentinel series), or mission-specific satellites.

[0181] Specifically, a scale is set, and satellite imagery of different scales is customized according to the needs of the survey. This may involve extracting and synthesizing images of different scales from high-resolution satellite data. Specialized software (such as ERDAS IMAGINE, ArcGIS, etc.) is used for image scaling, cropping, and stitching to meet the requirements of different scales.

[0182] Understandably, large-scale satellite imagery, while depicting a small area, offers detailed information and is suitable for precise measurement and detailed analysis. In mineral exploration, large-scale satellite imagery can clearly display detailed information such as the topography and geological structure of a mining area, helping to discover direct prospecting indicators such as ore outcrops and mineralization alteration zones.

[0183] Medium-scale satellite imagery: falling between large-scale and small-scale imagery, it is suitable for regional surveys covering a medium area. In exploration work, medium-scale satellite imagery can provide relatively comprehensive regional geological background information, which helps to understand the tectonic framework, distribution of igneous rocks, etc., of the mining area.

[0184] Small-scale satellite imagery: Represents a broad area and provides a general overview of geographic information. Small-scale satellite imagery can showcase the geological structure and geomorphological features of the entire exploration area or even a larger region, helping to grasp the geological background and prospecting direction of the mining area from a macroscopic perspective.

[0185] Specifically, the shooting angle is set to capture one image every 3 degrees within the range of 0-180°, ensuring the satellite can adjust its shooting angle to cover the entire range. Considering the limitations of satellite orbit and attitude control, this may require multiple flybys or combining data from multiple satellites to achieve this.

[0186] Understandably, low-angle photography makes the subject appear taller and more imposing, increasing visual impact. In mineral exploration, low-angle satellite imagery can highlight the elevation changes in the mining area, enhancing the understanding of its topographical features.

[0187] High-angle shooting: Showcasing the entire scene and its details, adding depth to the image. Satellite images taken from high angles can comprehensively display the layout and geological features of the mining area, helping to understand the overall geological conditions of the mining area.

[0188] Multi-angle photography: By shooting from different angles, multi-perspective information about the mining area can be obtained, which helps to gain a more comprehensive understanding of the geological features and ore body morphology of the mining area. This is of great significance for the 3D modeling of mineral deposits and the analysis of ore body morphology.

[0189] Specifically, a time period is set, and satellite images are taken every 30 minutes for 24 hours a day. This requires the satellite to have high-frequency revisit capability or to utilize multiple satellites for collaborative observation. It is essential to ensure that the satellite can take stable pictures within the specified time period and record the precise time of each shot.

[0190] It is understandable that satellite images from different time periods can have the following observational functions:

[0191] Time series analysis, by acquiring satellite imagery from different time periods, allows for the analysis of dynamic changes in a mining area. For example, in mineral exploration, it can analyze changes in vegetation cover and surface water systems to infer geological processes and mineralization.

[0192] Environmental change monitoring: Satellite imagery from different time periods can also be used to monitor environmental changes in mining areas, such as soil erosion and geological disasters. This is of great significance for assessing environmental risks in mining areas and protecting the ecological environment.

[0193] Specifically, the satellite is configured with five bands: radio frequency, optical, shortwave infrared, longwave infrared, and ultraviolet. This requires the satellite to have multispectral or hyperspectral imaging capabilities. Based on the satellite's band coverage, the band closest to the required band is selected for data acquisition.

[0194] Understandably, the optical band is primarily used to acquire visible and infrared information about mining areas, reflecting the surface cover and vegetation growth. This is of great significance for understanding the natural environment and human activities in mining areas.

[0195] Shortwave infrared band: Sensitive to the specific absorption characteristics of minerals, it is often used for mineral identification and lithological classification. In mineral exploration, shortwave infrared satellite imagery can reveal the absorption spectral characteristics of minerals, helping to discover mineralization alteration zones and ore body outcrops.

[0196] Long-wave infrared band: Primarily used to monitor surface temperature distribution and heat transfer processes. In mineral exploration, long-wave infrared satellite imagery can be used to study geothermal anomalies and underground hydrothermal activity in mining areas, providing clues for finding hydrothermal deposits.

[0197] Radio frequency and ultraviolet bands: Although not commonly used in conventional satellite remote sensing for mineral exploration, they have special application value under specific conditions (such as detecting underground pipelines and monitoring atmospheric composition).

[0198] In summary, satellite images of different scales, shooting angles, time periods, and frequency bands each have their own characteristics and roles in remote sensing exploration and monitoring. Together, they provide rich and comprehensive information support for mineral exploration and research in other fields.

[0199] Through step S205, this embodiment successfully customized satellite data according to exploration needs, taking into account satellite images of different scales, shooting angles, time periods, and wavebands, providing comprehensive data information support for subsequent accurate target mineral inversion calculations and model construction.

[0200] In one embodiment of the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter in this application, see [link to relevant documentation]. Figure 3 It can also specifically include the following:

[0201] Step S301: Perform Fourier transform and image fusion operations on the remote sensing satellite digital images of the survey area to determine the corresponding high-precision remote sensing satellite digital images;

[0202] Step S302: Perform laser printing and calibration operations on the high-precision remote sensing satellite digital image to determine the corresponding remote sensing satellite original film of the exploration area.

[0203] Optional, Fourier transform operation, filtering the image, the filtering effect includes:

[0204] Noise reduction: Periodic noise can overlap on the source image, forming a series of spikes or bright spots, which can be eliminated by bandpass or slotted filtering methods; spike noise can be filtered by Fourier transform.

[0205] Eliminating bad lines and bands: The elimination of bad lines and bands in remote sensing images is generally achieved by using Fourier transform and low-pass filtering.

[0206] Optionally, image fusion is an operation that aims to fuse multi-source remote sensing data in a unified coordinate system and generate a set of composite images using a certain algorithm. This can compensate for the lack of information in a single image, expand the application scope of the information, and improve the accuracy of remote sensing image analysis.

[0207] Preferably, the processing of remote sensing satellite digital images of the exploration area may further include:

[0208] Thin cloud processing: Thin clouds appearing in remote sensing images are reduced due to weather conditions.

[0209] Shadow processing: Due to the sun's altitude, the shadows of mountains appearing in remote sensing images can be eliminated using the ratio method.

[0210] Geometric correction: To ensure accurate positioning, acquired remote sensing images must undergo geometric correction before use. This is done by using existing accurate geographic coordinates and projection information to correct the original remote sensing image, giving it accurate geographic coordinates. In areas with significant topographic relief, orthorectification is also necessary. This is done by using existing geographic reference data (topographic maps, control points, etc.) and digital elevation model (DEM) data to correct the original remote sensing image, eliminating or reducing image distortion caused by topographic relief.

[0211] Image enhancement: To improve the readability of ground feature information contained in remote sensing images, image enhancement processing is required. Histogram transformation is used to count the number of pixels of each brightness level in the image. The random distribution of pixel brightness should be a normal distribution. If the histogram is not normally distributed, it indicates that the image brightness distribution is too bright, too dark, or the brightness is too concentrated, resulting in low image contrast. The histogram needs to be adjusted to a normal distribution to improve image quality.

[0212] Through step S302, this embodiment realizes specialized mathematical processing of remote sensing satellite digital images of the exploration area, improves the accuracy and information content of remote sensing satellite digital images, and lays the foundation for obtaining information from remote sensing satellite digital images in the future.

[0213] In one embodiment of the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter in this application, see [link to relevant documentation]. Figure 4 It can also specifically include the following:

[0214] Step S401: Perform a radiation operation on the original film according to the subatomic field emitted by the preset subatomic field generator, which has the same radiation frequency as the target material;

[0215] Step S402: Determine the corresponding radiation image of the target material based on the radiation resonance of the target material obtained after the radiation operation by receiving the target material on the preset photosensitive film.

[0216] Optionally, in this embodiment, this step is performed in a radioactive laboratory. The principle of radiation resonance is that when leptons in a material (such as rocks, ores, minerals, etc.) encounter energy fluctuations and form resonance conditions, they will exhibit an energy difference response, thereby radiating a lepton field of a specific frequency. This radiation information can be captured and recorded by remote sensing equipment such as remote sensing satellites. Under the illumination of a radiation source of a specific wavelength, the lepton field can absorb and re-emit radiant energy.

[0217] Since different substances have different subatomic field vibration frequencies, when extracting the subatomic resonance field, the vibration frequency of the subatomic field generator can be selected according to the vibration frequency of the target substance in the vibration frequency spectrum of different substances, and the original film of the remote sensing satellite can be irradiated to obtain the subatomic distributed radiation resonance field.

[0218] Next, the subatomic distributed radiation resonance field is projected onto a subatomic filter, and the target material radiation resonance is accurately extracted through the filter and the gel of the material to be retrieved arranged on the filter.

[0219] Subatomic filters selectively filter radiation signals of specific wavelengths or energies, thereby extracting lepton radiation characteristics associated with a target material (such as an ore body). This allows for clearer identification of target signals against complex backgrounds. In data visualization, subatomic filters can help generate clearer, more informative radiation images, enabling researchers to more intuitively understand the distribution and characteristics of ore bodies.

[0220] The gel for extracting substances can effectively concentrate minerals or compounds in target samples, facilitating subsequent analysis, especially the extraction of trace elements. It focuses on improving sample processing and detection sensitivity, and can be used in conjunction with techniques such as spectral analysis and chromatographic analysis to improve analytical efficiency and accuracy.

[0221] Photosensitive film can respond to radiation energy. By irradiating a target material with resonant radiation, the film can record these radiation signals. The selection of materials and processing methods for photosensitive film make it sensitive to subtle changes in radiation.

[0222] During the experiment, a pre-set radiation source (such as a laser or other high-energy radiation source) irradiates the photosensitive film. The purpose of this process is to enhance the signal, making the radiation characteristics of the target material more apparent. By using a suitable irradiation method, changes in radiation flux can be effectively recorded.

[0223] When photographic film receives a radiation signal, radiation resonance forms a corresponding image on the film. These images reflect the radiation characteristics of the target material, including radiation intensity and distribution patterns.

[0224] Optionally, the entire radiological test was conducted in three stages:

[0225] The original satellite image negatives are placed on the top layer, and the satellite image on the top layer is subjected to vertical irradiation through an external subatomic field generator;

[0226] A subatomic filter is placed in the middle layer to receive the resonance field of the top layer. The accuracy of the target resonance field is improved by the filter and the gel of the substance to be retrieved.

[0227] The photosensitive film is placed at the bottom layer, and by setting a radiation source at the bottom of the photosensitive film, the resonant field can be effectively imaged.

[0228] Preferably, the photosensitive film can be X-ray film, and the radiation source below the photosensitive film can be an ultraviolet radiation source.

[0229] Through step S402, this embodiment successfully irradiates the original film with an atomic field generator to form a subatomic field resonance of the target material, and uses a photosensitive film to receive the resonance field and form a radiation image of the target material on the film.

[0230] In one embodiment of the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter in this application, see [link to relevant documentation]. Figure 5 It can also specifically include the following:

[0231] Step S501: Perform noise reduction on the radiation image of the target material according to the nonlinear filtering algorithm to determine the corresponding first material radiation image;

[0232] Step S502: Perform image feature extraction on the radiation image of the first substance according to the nonlinear image processing algorithm to determine the corresponding enhanced radiation image.

[0233] Optionally, in this embodiment, the nonlinear algorithm is an image nonlinear processing method, which refers to processing images by using nonlinear mathematical operations and algorithms, thereby improving the quality and visualization effect of the images.

[0234] More specifically, nonlinear processing includes the following key steps:

[0235] Image brightness and contrast adjustment: Through non-linear transformation, the brightness and contrast of the image are optimized to make the image of abnormal radiation intensity distribution clearer.

[0236] Noise Removal: Nonlinear filtering techniques are applied to remove noise from images and improve the overall image quality.

[0237] Feature description: Nonlinear image processing techniques are used for image edge detection, image segmentation, image enhancement, and image compression to better describe the features and structure in the image and improve the visual effect.

[0238] Through step S502, this embodiment successfully enhanced the radiation image of the target material using a nonlinear algorithm, obtaining an enhanced radiation image, which lays a solid foundation for subsequent digital map drawing and mathematical model establishment.

[0239] In one embodiment of the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter in this application, see [link to relevant documentation]. Figure 6 It can also specifically include the following:

[0240] Step S601: Perform planar position calibration on the enhanced radiometric image according to preset geographic coordinates;

[0241] Step S602: Perform vectorization on the image after the planar position calibration operation according to the preset vector algorithm to determine the corresponding vectorized radiation image, and perform digitization on the vectorized radiation image to determine the corresponding target material digital map.

[0242] Optionally, in this embodiment, a GIS (Geographic Information System) program is used to perform planar position calibration on the nonlinearly processed image. This process ensures that the extracted radiation intensity image corresponds to the geographic coordinate system, ensuring the accuracy of the spatial location of the data. Through position calibration, radiation anomalies can be correctly located in the actual geographic environment, thereby providing a reliable geographic background for subsequent analysis.

[0243] A geoscience vectorization program is used to vectorize the nonlinearly processed and calibrated images. This vectorization process converts raster images (pixel-based) into vector data (points, lines, and polygons), making the data more flexible and accurate for display and analysis. Vector data allows for more complex geological analyses and modeling; for example, it facilitates spatial analysis and overlay analysis, thus improving data usability.

[0244] As is understandable, vector data represents geographic information using points, lines, and polygons. For example, in mineral exploration, a radiation anomaly area in a mining region can be represented by a polygon, the boundary of which is formed by connecting multiple points (coordinates). Vector data typically has high accuracy because it uses coordinates to precisely locate specific geographic features.

[0245] Specifically, relevant data, including radiation flux density values, anomalous distribution areas, and anomalous location coordinates, are extracted from the vectorized images.

[0246] Anomaly radiation ranges are delineated based on radiation flux density values, and the extracted range-related data is converted into a digital format for storage and analysis by computer systems. This data is typically stored in tables or databases. Using a GIS (Geographic Information System), the digitized data is then used to create a digital map displaying the spatial distribution of radiation flux density.

[0247] Through step S602, this embodiment successfully obtained a digital map drawn based on radiation flux density, which is computable and whose coordinates are calibrated with geographical coordinates. Mathematical model calculations and visualizations of the target ore body can be performed using radiation flux density anomalies.

[0248] In one embodiment of the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter in this application, see [link to relevant documentation]. Figure 7 It can also specifically include the following:

[0249] Step S701: Determine the corresponding vertical direction based on the digital map;

[0250] Step S702: Determine the corresponding contour anomaly map based on the coordinates in the digital map, perform a profile cutting operation on the contour anomaly map, and determine the trend and dip angle of the corresponding target material;

[0251] Step S703: Determine the corresponding vertical tilt direction and parallel tilt direction based on the tilt angle.

[0252] Optionally, in this embodiment, the digital map is formed by vertical radiation of the original film by a subatomic generator, and the vertical direction is the first direction;

[0253] Connect the numbers with the same radiation energy in this digital map to form a radiation contour anomaly map of the target mineral. Cut the peak anomaly in this anomaly map into sections to restore the dip and dip angle of the target mineral. Draw the corresponding tangent line for the dip angle. The direction of the tangent line is the direction of the dip angle. At this time, determine the direction along the dip angle as the second direction and the direction perpendicular to the dip angle as the third direction.

[0254] Through step S703, this embodiment successfully obtained three radiation directions, laying the foundation for subsequent mathematical model construction and target ore body inversion.

[0255] In one embodiment of the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter in this application, see [link to relevant documentation]. Figure 8 It can also specifically include the following:

[0256] Step S801: Perform a radiometric operation on the original film according to the vertical direction to determine the corresponding vertical radiometric image;

[0257] Step S802: Perform a radiometric operation on the original film according to the vertical tilt direction to determine the corresponding vertical tilt radiometric image;

[0258] Step S803: Perform a radiometric operation on the original film according to the parallel tilt angle direction to determine the corresponding parallel tilt angle radiometric image.

[0259] Optionally, in this embodiment, after obtaining the above three directions, the original film is irradiated from the above three directions by a subatomic generator to obtain three corresponding radiation images. The image irradiated from the vertical direction is the vertical radiation image A, which is the radiation image of the target material obtained in step S102; the image obtained from the vertical tilt direction is the vertical tilt radiation image B; and the image obtained from the parallel tilt direction is the parallel tilt radiation image C.

[0260] It is understandable that the images obtained from the radiation in the above three directions appear as three ellipses of different sizes on the plane. At the same time, by repeating the above image digitization process, after the coordinates of the elliptical image are calibrated and vectorized and digitized, the target substance can be inverted and calculated through the coordinate points in the ellipse, a mathematical model of the target substance can be established, and the target substance can be visualized.

[0261] Through step S803, this embodiment successfully radiates from three directions to obtain three radiation maps. The previous digitization operation is repeated to make the three maps computable, laying the computational foundation for subsequent target mineral inversion.

[0262] In one embodiment of the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter in this application, see [link to relevant documentation]. Figure 9 It can also specifically include the following:

[0263] Step S901: Determine the corresponding burial depth of the target material based on the vertical tilt radiation image and the vertical radiation image;

[0264] Step S902: Determine the corresponding target material thickness based on the parallel tilt angle radiation image;

[0265] Step S903: Determine the corresponding mathematical model of the target material based on the burial depth and thickness of the target material.

[0266] Optionally, in this embodiment, the target material inversion calculation steps are as follows:

[0267] The left vertex A1, right vertex A2, and center point O1 of the vertical radiation image A of the target material;

[0268] The left vertex B1, right vertex B2, and center point O2 of the vertical tilt radiation image B of the target material;

[0269] The left vertex C1, right vertex C2, and center point O3 of the parallel tilt radiation image C of the target material;

[0270] Calculate the distance D1 between points A1 and B1 based on their actual coordinates. The burial depth of the ore body roof is H1 = D1 / tg(θ).

[0271] Calculate the distance D2 between points A2 and B2 based on their actual coordinates. The burial depth of the ore body bottom plate is H2 = D2 / tg(θ).

[0272] The distance D between points O1 and O2 is calculated based on their actual coordinates. The burial depth of the ore body center point is H = D / tg(θ).

[0273] As described above, based on the movement characteristics of the two radiation anomalies, the burial depth H1 of the top plate, the burial depth H of the center point, and the burial depth H2 of the bottom plate of the target body (ore body) can be determined.

[0274] Based on the distance D3 between the left vertex C1 and the right vertex C2 of the parallel tilt radiation image of the target material, the thickness T = D3 of the target body (ore body) can be roughly inferred.

[0275] The parallel tilt angle radiation image of the target material is obtained by directing light from the target material body along the tilt angle direction. The distance between the vertices of the resulting ellipse can be used to estimate the thickness of the ore body.

[0276] After the above inversion calculation, the approximate occurrence and morphology of the target substance can be obtained.

[0277] Next, a corresponding mathematical model of the target material is constructed. The mathematical model includes anomaly number, element category, radiation flux density value (radiation intensity value), anomaly distribution area, anomaly location coordinates, anomaly distribution orientation, and anomaly depth range.

[0278] The model establishment process begins by numbering the extracted radiation anomaly data, assigning a unique identifier to each anomaly region. Anomaly numbering facilitates systematic management of each radiation anomaly, simplifying subsequent data processing and analysis. This process provides a clear record for later analysis, enabling explicit citation of specific anomaly data in discussions and reports.

[0279] Optionally, among the features mentioned above, elemental classification is determined based on radiation intensity and known geological characteristics to identify the elemental category of each anomalous area. Identifying elemental categories helps geologists understand the composition and properties of ore bodies. This is crucial for mineral exploration because different elemental distributions can indicate different types of deposits, thus influencing exploration strategies and methods.

[0280] Optionally, among the features mentioned above, the radiation flux density value is the radiation flux density value (radiation intensity value) for each anomalous region. The radiation flux density value is a key indicator for assessing the intensity of radiation anomalies and has a direct impact on subsequent analysis, visualization, and decision-making.

[0281] Optionally, among the above features, the anomalous distribution area refers to the area of ​​each radiation anomaly region. Understanding the anomalous distribution area helps geologists assess the size of mineral deposits, thereby enabling them to make reasonable development plans and resource assessments.

[0282] Optionally, among the above features, the coordinates of the anomalous location and the geographic coordinates of each anomalous area are recorded so that the anomalous area can be accurately located on the map, providing basic data for subsequent exploration and development.

[0283] Optionally, among the above features, the occurrence of anomalous distributions can be analyzed, including the geological characteristics of each anomalous area, such as dip and strike. Information on the occurrence of anomalous distributions is crucial for understanding the formation and evolution of ore bodies, helps predict the location of other possible ore bodies, and guides further exploration work.

[0284] Optionally, among the above features, the abnormal depth range, the depth range of each abnormal area, allows the exploration team to design drilling plans and select appropriate mining technologies more effectively by understanding the depth distribution of abnormalities.

[0285] For example, suppose a microlepton field radiation exploration is conducted in a mining area. After establishing a mathematical model, the following results are obtained:

[0286] Anomaly Number: This is used to number different radiation anomaly areas, such as "Anomaly 1", "Anomaly 2", etc.

[0287] Element category identification: "Anomaly 1" was found to mainly contain uranium, while "Anomaly 2" was mainly thorium.

[0288] Radiation flux density record: The radiation intensity of "Anomaly 1" is recorded as 150 Bq / m². 2 "Abnormality 2" is 80 Bq / m 2 .

[0289] Abnormal distribution area calculation: "Abnormal 1" area is 500 square meters, "Abnormal 2" area is 300 square meters.

[0290] Anomaly location coordinates record: "Anomaly 1" is located at (longitude X1, latitude Y1), and "Anomaly 2" is located at (longitude X2, latitude Y2).

[0291] Abnormal distribution attitude analysis: The analysis shows that "abnormal 1" has a NW-SE trend and a dip angle of 30 degrees.

[0292] Anomaly depth range estimation: The depth range of "Anomaly 1" is estimated to be 50-100 meters.

[0293] Through step S903, this embodiment successfully established a visualization model of mineral resources. By automatically analyzing the distribution characteristics of anomalies through a mathematical model, the efficiency and accuracy of geological exploration information visualization are improved.

[0294] To improve the efficiency and accuracy of geological exploration by utilizing the subatomic radiation of crustal mineral elements captured by satellites and employing subatomic properties for mineral detection and visualization, this application provides an embodiment of a geological exploration device based on the intrinsic subatomic radiation characteristics of matter, for implementing all or part of the aforementioned geological exploration method. See [link to embodiment]. Figure 10The geological exploration device based on the intrinsic subatomic wave radiation characteristics of matter specifically includes the following components:

[0295] The original negative customization module 10 is used to determine the specific range of the target mining area, and to perform remote sensing satellite data acquisition operations based on the specific range, set scale, set shooting angle, set time period and set band to determine the corresponding remote sensing satellite digital image of the exploration area. The remote sensing satellite digital image of the exploration area is subjected to special mathematical calculation processing, and the digital image obtained after the special mathematical calculation processing is subjected to laser printing and calibration operations to determine the corresponding remote sensing satellite original negative of the exploration area.

[0296] The radiation image extraction module 20 is used to perform radiation operation on the original film according to a preset subatomic field generator to determine the corresponding target material radiation image, perform image enhancement processing on the target material radiation image according to a nonlinear algorithm to determine the corresponding enhanced radiation image, and perform digitization operation on the enhanced radiation image according to preset geographic coordinates and a preset vector algorithm to determine the corresponding target material digital map.

[0297] The mineral mathematical model construction module 30 is used to determine three corresponding directions based on the digital map, perform radiometric operations on the original film according to the three directions to determine three corresponding digital images, perform target material inversion calculations and target material model establishment operations based on the three digital images, determine the corresponding target material mathematical model, and realize the visualization of the target material.

[0298] As described above, the geological exploration device based on the intrinsic subatomic wave radiation characteristics of matter provided in this application embodiment can acquire remote sensing satellite data by specifying the target mining area, setting a scale, setting an shooting angle, setting a time period, and setting a waveband, and determine the original remote sensing satellite image of the corresponding exploration area; perform radiation operation on the original image according to a preset subatomic field generator, perform image enhancement processing on the radiation image of the target material according to a nonlinear algorithm, and determine the corresponding digital map of the target material; determine the corresponding three directions according to the digital map, determine the corresponding three digital images according to the three directions, perform target material inversion calculation and target material model establishment operation according to the three digital images, determine the corresponding mathematical model of the target material, and realize the visualization of the target material. Thus, it can improve the efficiency and accuracy of geological exploration by using the subatomic radiation of crustal mineral elements captured by satellite and utilizing subatomic characteristics for mineral detection and visualization.

[0299] From a hardware perspective, in order to improve the efficiency and accuracy of geological exploration by capturing subatomic radiation of crustal mineral elements by satellites and utilizing subatomic properties for mineral detection and visualization, this application provides an embodiment of an electronic device for implementing all or part of the aforementioned geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter. The electronic device specifically includes the following components:

[0300] The system comprises a processor, memory, a communications interface, and a bus; wherein the processor, memory, and communications interface communicate with each other via the bus; the communications interface is used to realize information transmission between the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter and core business systems, user terminals, and related databases and other related equipment; the logic controller can be a desktop computer, tablet computer, or mobile terminal, etc., and this embodiment is not limited to these. In this embodiment, the logic controller can be implemented with reference to the embodiments of the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter in the embodiments, and the contents of the embodiments are incorporated herein, and repeated parts will not be described again.

[0301] It is understood that the user terminal may include smartphones, tablet computers, network set-top boxes, portable computers, desktop computers, personal digital assistants (PDAs), in-vehicle devices, smart wearable devices, etc. Among these, the smart wearable devices may include smart glasses, smartwatches, smart bracelets, etc.

[0302] In practical applications, some aspects of geological exploration methods based on the intrinsic subatomic wave radiation characteristics of matter can be executed on the electronic device side as described above, or all operations can be completed in the client device. The choice can be made based on the processing power of the client device and the limitations of the user's usage scenario. This application does not impose any limitations on this. If all operations are completed in the client device, the client device may further include a processor.

[0303] The aforementioned client device may have a communication module (i.e., a communication unit) that can communicate with a remote server to achieve data transmission. The server may include a server on the task scheduling center side; in other implementation scenarios, it may also include a server on an intermediate platform, such as a server on a third-party server platform that has a communication link with the task scheduling center server. The server may include a single computer device, a server cluster consisting of multiple servers, or a distributed server structure.

[0304] Figure 11This is a schematic block diagram illustrating the system configuration of the electronic device 9600 according to an embodiment of this application. Figure 11 As shown, the electronic device 9600 may include a central processing unit 9100 and a memory 9140; the memory 9140 is coupled to the central processing unit 9100. It is worth noting that... Figure 11 This is an example; other types of structures can also be used to supplement or replace this structure to achieve telecommunications functions or other functions.

[0305] In one embodiment, the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter can be integrated into the central processing unit 9100. The central processing unit 9100 can be configured to perform the following control:

[0306] Step S101: Determine the specific range of the target mining area, and perform remote sensing satellite data acquisition operations based on the specific range, set scale, set shooting angle, set time period and set band to determine the corresponding remote sensing satellite digital image of the exploration area. Perform special mathematical calculation processing on the remote sensing satellite digital image of the exploration area, and perform laser printing and calibration operations on the digital image obtained after the special mathematical calculation processing to determine the corresponding remote sensing satellite original film of the exploration area.

[0307] Step S102: Perform radiation operation on the original film according to the preset subatomic field generator to determine the corresponding target material radiation image; perform image enhancement processing on the target material radiation image according to the nonlinear algorithm to determine the corresponding enhanced radiation image; perform digitization operation on the enhanced radiation image according to the preset geographic coordinates and preset vector algorithm to determine the corresponding target material digital map.

[0308] Step S103: Determine the three corresponding directions based on the digital map, perform radiometric operations on the original film according to the three directions respectively, determine the three corresponding digital images, perform target material inversion calculation and target material model establishment operations based on the three digital images, determine the corresponding target material mathematical model, and realize the visualization of the target material.

[0309] As described above, the electronic device provided in this application acquires remote sensing satellite data by specifying the target mining area, setting a scale, setting a shooting angle, setting a time period, and setting a band, thereby determining the original remote sensing satellite image of the corresponding exploration area. It then performs a radiation operation on the original image using a preset subatomic field generator, performs image enhancement processing on the radiation image of the target material using a nonlinear algorithm, and determines the corresponding digital map of the target material. Based on the digital map, it determines three corresponding directions, and then determines three corresponding digital images based on these three directions. Finally, it performs target material inversion calculations and target material model establishment operations based on the three digital images, determining the corresponding mathematical model of the target material and realizing the visualization of the target material. This allows for mineral detection and visualization based on the subatomic radiation of crustal mineral elements captured by satellites, utilizing subatomic characteristics to improve the efficiency and accuracy of geological exploration.

[0310] In another embodiment, the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter can be configured separately from the central processing unit 9100. For example, the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter can be configured as a chip connected to the central processing unit 9100, and the function of the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter can be realized through the control of the central processing unit.

[0311] like Figure 11 As shown, the electronic device 9600 may further include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is worth noting that the electronic device 9600 does not necessarily need to include these components. Figure 11 All components shown; in addition, the electronic device 9600 may also include Figure 11 For components not shown, please refer to existing technologies.

[0312] like Figure 11 As shown, the central processing unit 9100, sometimes also referred to as a controller or operating control, may include a microprocessor or other processor device and / or logic device, which receives inputs and controls the operation of various components of the electronic device 9600.

[0313] The memory 9140 may be, for example, one or more of a cache, flash memory, hard drive, removable media, volatile memory, non-volatile memory, or other suitable devices. It may store the aforementioned failure-related information, and also store a program for executing that information. The central processing unit 9100 may execute the program stored in the memory 9140 to perform information storage or processing, etc.

[0314] Input unit 9120 provides input to central processing unit 9100. Input unit 9120 may be, for example, a keypad or touch input device. Power supply 9170 provides power to electronic device 9600. Display 9160 displays images and text. Display may be, for example, an LCD display, but is not limited thereto.

[0315] The memory 9140 can be a solid-state memory, such as a read-only memory (ROM), random access memory (RAM), SIM card, etc. It can also be a memory that retains information even when power is off, can be selectively erased, and contains more data; examples of this type of memory are sometimes referred to as EPROMs. The memory 9140 can also be some other type of device. The memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application / function storage unit 9142 for storing application programs and function programs or processes for executing the operation of the electronic device 9600 via the central processing unit 9100.

[0316] The memory 9140 may also include a data storage unit 9143 for storing data, such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. The driver storage unit 9144 of the memory 9140 may include various drivers for the electronic device's communication functions and / or for performing other functions of the electronic device (such as messaging applications, address book applications, etc.).

[0317] The communication module 9110 is a transmitter / receiver that sends and receives signals via the antenna 9111. The communication module 9110 is coupled to the central processing unit 9100 to provide input signals and receive output signals, which is the same as in a conventional mobile communication terminal.

[0318] Based on different communication technologies, multiple communication modules 9110 can be configured in the same electronic device, such as cellular network modules, Bluetooth modules, and / or wireless LAN modules. The communication module 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and receive audio input from the microphone 9132, thereby realizing typical telecommunications functions. The audio processor 9130 may include any suitable buffer, decoder, amplifier, etc. Furthermore, the audio processor 9130 is also coupled to a central processing unit 9100, enabling on-device recording via the microphone 9132 and on-device playback of stored sound via the speaker 9131.

[0319] Embodiments of this application also provide a computer-readable storage medium capable of implementing all steps of the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter, where the execution subject is a server or client, as described in the above embodiments. The computer-readable storage medium stores a computer program that, when executed by a processor, implements all steps of the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter, where the execution subject is a server or client, as described in the above embodiments. For example, when the processor executes the computer program, it implements the following steps:

[0320] Step S101: Determine the specific range of the target mining area, and perform remote sensing satellite data acquisition operations based on the specific range, set scale, set shooting angle, set time period and set band to determine the corresponding remote sensing satellite digital image of the exploration area. Perform special mathematical calculation processing on the remote sensing satellite digital image of the exploration area, and perform laser printing and calibration operations on the digital image obtained after the special mathematical calculation processing to determine the corresponding remote sensing satellite original film of the exploration area.

[0321] Step S102: Perform radiation operation on the original film according to the preset subatomic field generator to determine the corresponding target material radiation image; perform image enhancement processing on the target material radiation image according to the nonlinear algorithm to determine the corresponding enhanced radiation image; perform digitization operation on the enhanced radiation image according to the preset geographic coordinates and preset vector algorithm to determine the corresponding target material digital map.

[0322] Step S103: Determine the three corresponding directions based on the digital map, perform radiometric operations on the original film according to the three directions respectively, determine the three corresponding digital images, perform target material inversion calculation and target material model establishment operations based on the three digital images, determine the corresponding target material mathematical model, and realize the visualization of the target material.

[0323] As described above, the computer-readable storage medium provided in this application embodiment acquires remote sensing satellite data by specifying the target mining area, setting a scale, setting a shooting angle, setting a time period, and setting a band, thereby determining the original remote sensing satellite image of the corresponding exploration area. It then performs a radiation operation on the original image using a preset subatomic field generator, performs image enhancement processing on the radiation image of the target material using a nonlinear algorithm, and determines the corresponding digital map of the target material. Based on the digital map, it determines three corresponding directions, and then determines three corresponding digital images based on these three directions. Finally, it performs target material inversion calculations and target material model establishment operations based on the three digital images, determining the corresponding mathematical model of the target material and realizing the visualization of the target material. This allows for mineral detection and visualization based on the subatomic radiation of crustal mineral elements captured by satellites, utilizing subatomic characteristics to improve the efficiency and accuracy of geological exploration.

[0324] Embodiments of this application also provide a computer program product capable of implementing all steps in the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter, where the execution subject is a server or client as described in the above embodiments. When executed by a processor, this computer program / instruction implements the steps of the geological exploration method based on the intrinsic subatomic wave radiation characteristics of matter. For example, the computer program / instruction implements the following steps:

[0325] Step S101: Determine the specific range of the target mining area, and perform remote sensing satellite data acquisition operations based on the specific range, set scale, set shooting angle, set time period and set band to determine the corresponding remote sensing satellite digital image of the exploration area. Perform special mathematical calculation processing on the remote sensing satellite digital image of the exploration area, and perform laser printing and calibration operations on the digital image obtained after the special mathematical calculation processing to determine the corresponding remote sensing satellite original film of the exploration area.

[0326] Step S102: Perform radiation operation on the original film according to the preset subatomic field generator to determine the corresponding target material radiation image; perform image enhancement processing on the target material radiation image according to the nonlinear algorithm to determine the corresponding enhanced radiation image; perform digitization operation on the enhanced radiation image according to the preset geographic coordinates and preset vector algorithm to determine the corresponding target material digital map.

[0327] Step S103: Determine the three corresponding directions based on the digital map, perform radiometric operations on the original film according to the three directions respectively, determine the three corresponding digital images, perform target material inversion calculation and target material model establishment operations based on the three digital images, determine the corresponding target material mathematical model, and realize the visualization of the target material.

[0328] As described above, the computer program product provided in this application acquires remote sensing satellite data by specifying the target mining area, setting a scale, setting a shooting angle, setting a time period, and setting a waveband, thus determining the original remote sensing satellite image of the corresponding exploration area. It then performs a radiation operation on the original image using a preset subatomic field generator, performs image enhancement processing on the radiation image of the target material using a nonlinear algorithm, and determines the corresponding digital map of the target material. Based on the digital map, it determines three corresponding directions, and then determines three corresponding digital images based on these three directions. Finally, it performs target material inversion calculations and target material model establishment operations based on the three digital images, determining the corresponding mathematical model of the target material and realizing the visualization of the target material. This allows for mineral detection and visualization based on the subatomic radiation of crustal mineral elements captured by satellites, utilizing subatomic characteristics to improve the efficiency and accuracy of geological exploration.

[0329] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0330] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0331] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0332] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0333] Specific embodiments have been used to illustrate the principles and implementation methods of this invention. The descriptions of the embodiments above are only for the purpose of helping to understand the method and core ideas of this invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this invention. Therefore, the content of this specification should not be construed as a limitation of this invention.

Claims

1. A method of geological exploration based on the properties of the intrinsic subatomic wave radiation of matter, characterized in that, The method comprises: determining a specific range of a target mining area, performing remote sensing satellite data acquisition operation according to the specific range, setting scale, setting shooting angle, setting time period and setting wave band, determining corresponding exploration area remote sensing satellite digital image, performing special mathematical calculation processing on the exploration area remote sensing satellite digital image, performing laser printing and calibration operation on the digital image obtained after the special mathematical calculation processing, and determining corresponding exploration area remote sensing satellite original negative; performing radiation operation on the original negative according to a preset subatomic field generator, determining corresponding target substance radiation image, performing image enhancement processing on the target substance radiation image according to a nonlinear algorithm, determining corresponding enhanced radiation image, performing digitization operation on the enhanced radiation image according to a preset geographic coordinate and a preset vector algorithm, and determining corresponding target substance digital map; determining three directions according to the digital map, performing radiation operation on the original negative according to the three directions respectively, determining three digital images, performing target substance inversion calculation and target substance model establishment operation according to the three digital images, determining corresponding target substance mathematical model, and realizing target substance visualization.

2. The method for geological exploration based on the radiation characteristics of the substance eigen-subatomic waves according to claim 1, characterized in that, The remote sensing satellite data acquisition operation according to the specific range, setting scale, setting shooting angle, setting time period and setting wave band, and the determination of the corresponding exploration area remote sensing satellite digital image, comprise: selecting the scale of the remote sensing satellite picture according to the specific range to determine the corresponding set scale, wherein the set scale comprises at least one of large scale, medium scale and small scale; selecting the shooting angle of the remote sensing satellite picture according to the specific range to determine the corresponding set shooting angle, wherein the set shooting angle is selected in the range of 0-180°; selecting the time period of the remote sensing satellite picture according to the specific range to determine the corresponding set time period, wherein the time interval of the set time period is 30 minutes; selecting the wave band of the remote sensing satellite picture according to the specific range to determine the corresponding set wave band, wherein the set wave band comprises at least one of radio frequency, optics, short wave infrared, long wave infrared and ultraviolet; performing remote sensing satellite data acquisition operation according to the set scale, set shooting angle, set time period and set wave band, and determining the corresponding exploration area remote sensing satellite digital image.

3. The method for geological exploration based on the radiation characteristics of the substance eigen-subatomic waves according to claim 1, characterized in that, The special mathematical calculation processing on the exploration area remote sensing satellite digital image, and the laser printing and calibration operation on the digital image obtained after the special mathematical calculation processing, and the determination of the corresponding exploration area remote sensing satellite original negative, comprise: performing Fourier transform operation and image fusion operation on the exploration area remote sensing satellite digital image to determine the corresponding high-precision remote sensing satellite digital image; performing laser printing and calibration operation on the high-precision remote sensing satellite digital image to determine the corresponding exploration area remote sensing satellite original negative.

4. The method for geological exploration based on the radiation characteristics of the substance eigen-subatomic waves according to claim 1, characterized in that, The radiation operation on the original negative according to the preset subatomic field generator, and the determination of the corresponding target substance radiation image, comprise: According to the preset subatomic field generator, the original negative is radiated with a subatomic field having the same frequency as the target substance radiation frequency; According to the preset photosensitive film, the target substance radiation resonance after the radiation operation is received to determine the corresponding target substance radiation image.

5. The method for geological exploration based on the radiation characteristics of the substance eigen-subatomic waves according to claim 1, characterized in that, The image enhancement processing of the target substance radiation image according to the nonlinear algorithm includes: According to the nonlinear filtering algorithm, the target substance radiation image is denoised to determine the corresponding first substance radiation image; According to the nonlinear image processing algorithm, the first substance radiation image is subjected to image feature extraction operation to determine the corresponding enhanced radiation image.

6. The method for geological exploration based on the radiation characteristics of the substance eigen-subatomic waves according to claim 1, characterized in that, The digital operation of the enhanced radiation image according to the preset geographic coordinates and the preset vector algorithm determines the corresponding target substance digital map; According to the preset geographic coordinates, the plane position calibration operation is performed on the enhanced radiation image; According to the preset vector algorithm, the vectorization operation is performed on the image after the plane position calibration operation to determine the corresponding vectorized radiation image, and the digital operation is performed on the vectorized radiation image to determine the corresponding target substance digital map.

7. The method for geological exploration based on the radiation characteristics of the substance eigen-subatomic waves according to claim 1, characterized in that, The three directions determined according to the digital map include: According to the digital map, the vertical direction is determined; According to the coordinates in the digital map, the contour anomaly map is determined, and the profile cutting operation is performed on the contour anomaly map to determine the inclination and dip angle of the target substance; According to the dip angle, the vertical dip angle direction and the parallel dip angle direction are determined.

8. The method for geological exploration based on the radiation characteristics of the substance eigen-subatomic waves according to claim 1, characterized in that, The radiation operation of the original negative according to the three directions respectively to determine the corresponding three digital images includes: According to the vertical direction, the original negative is radiated to determine the corresponding vertical radiation image; According to the vertical dip angle direction, the original negative is radiated to determine the corresponding vertical dip angle radiation image; According to the parallel dip angle direction, the original negative is radiated to determine the corresponding parallel dip angle radiation image.

9. The method for geological exploration based on the radiation characteristics of the substance eigen-subatomic waves according to claim 1, characterized in that, The target substance inversion calculation and target substance model establishment operation according to the three digital images to determine the corresponding target substance mathematical model include: According to the vertical dip angle radiation image and the vertical radiation image, the target substance burial depth is determined; According to the parallel dip angle radiation image, the target substance thickness is determined; According to the target substance burial depth and the target substance thickness, the target substance mathematical model is determined.

10. A geophysical prospecting apparatus based on the intrinsic subatomic wave radiation characteristics of matter, characterized by, The device includes: The original negative customization module is used to determine the specific range of the target mining area, and the remote sensing satellite data acquisition operation is performed according to the specific range, the set scale, the set shooting angle, the set time period and the set wave band to determine the corresponding exploration area remote sensing satellite digital image. The exploration area remote sensing satellite digital image is subjected to special mathematical calculation processing, and the digital image obtained after the special mathematical calculation processing is subjected to laser printing and calibration operation to determine the corresponding exploration area remote sensing satellite original negative. The radiation image extraction module is configured to perform radiation operation on the original negative film according to a preset subatomic field generator, determine a corresponding target substance radiation image, perform image enhancement processing on the target substance radiation image according to a nonlinear algorithm, determine a corresponding enhanced radiation image, perform digitization operation on the enhanced radiation image according to a preset geographic coordinate and a preset vector algorithm, and determine a corresponding target substance digital map. The mineral mathematical model construction module is configured to determine three directions according to the digital map, perform radiation operation on the original negative film according to the three directions respectively, determine three digital images, perform target substance inversion calculation and target substance model establishment operation according to the three digital images, determine a corresponding target substance mathematical model, and realize target substance visualization.

Images