Radiation Information Extraction Method and Apparatus Based on Subatomic Properties

Abstract

This application provides a method and apparatus for extracting radiation information based on subatomic properties. The method includes: determining a remote sensing satellite image of a survey area; preprocessing the remote sensing satellite image of the survey area to determine a corresponding remote sensing satellite image of a target substance; developing and drying the remote sensing satellite image of the target substance to determine a corresponding exposed image film of the target substance; filtering the film image after printing according to a preset optical filter to determine a corresponding anomaly of the substance to be tested; receiving the anomaly of the substance to be tested according to a preset information carrier; irradiating the information carrier after receiving the anomaly according to a set subatomic field generator and an ultraviolet radiation source to determine a corresponding radiation anomaly image of the substance to be tested; and determining the corresponding radiation information of the substance to be tested according to the radiation anomaly image. This application can improve the efficiency and accuracy of radiation information extraction.

Description

Technical Field

[0001] This application relates to the field of data processing, specifically to a method and apparatus for extracting radiation information based on subatomic properties. Background Technology

[0002] Among existing methods for exploring underground lithological materials and minerals (deposits), one known method involves searching for underground irregularities in the visible and infrared ranges of the electromagnetic spectrum using multispectral aerial photography. The results are input into a computer, and a mathematical model based on the studied object is used to draw conclusions about its existence. Another known method for finding endogenic sediments (such as tin) involves multi-zone aerial photography and identifying spectral brightness anomalies. Anomalies found on the surface correspond to areas of hydrothermal alteration, which are then identified as the most promising areas for onshore mineral exploration. A third known method involves using infrared radiation aerial photography (IR aerial photography) to find geological sedimentary objects. This involves continuous flight over the study area, simultaneously scanning the Earth's surface and recording wavelengths, processing the recorded signals, and determining the coordinates of identified sedimentary anomalies. These methods are very practical, but they cannot identify geological objects, especially minerals, with the necessary reliability because the search results are affected by anomalies caused by various factors, including topography, vegetation, and karst structures in the Earth's crust.

[0003] For the reasons mentioned above, one method for extracting lepton radiation from a research object exists. This method allows for the study of crustal lithology with sufficiently high reliability and speed. However, extracting lepton radiation information from the research object requires significant computer processing of the received information. The presence of sufficiently complex digital equipment for processing this data reduces the reliability of the results. Furthermore, this method is relatively time-consuming, labor-intensive, costly, and requires a considerable amount of work. It cannot meet the requirements for high efficiency and accuracy in extracting radiation information based on subatomic properties. Summary of the Invention

[0004] To address the problems in the prior art, this application provides a radiation information extraction method and apparatus based on subatomic properties, which can improve the efficiency and accuracy of radiation information extraction.

[0005] To solve at least one of the above problems, this application provides the following technical solution:

[0006] In a first aspect, this application provides a method for extracting radiation information based on subatomic properties, comprising:

[0007] Determine the specific scope of the survey area, and based on the specific scope, set the scale, set the shooting angle, set the time period and set the band, perform remote sensing satellite data acquisition operations to determine the corresponding remote sensing satellite image of the survey area;

[0008] The remote sensing satellite images of the survey area are preprocessed to determine the corresponding preprocessed remote sensing satellite images. The preprocessed remote sensing satellite images are then fused according to a preset image fusion algorithm to determine the corresponding fused remote sensing satellite images. The fused remote sensing satellite images are then corrected according to preset shooting parameters to determine the corresponding target material remote sensing satellite images.

[0009] The remote sensing satellite image of the target substance is developed and dried to determine the corresponding exposure image film of the target substance. The exposure image film of the target substance is then printed. The film image obtained after the printing operation is filtered according to a preset optical filter to determine the corresponding anomaly of the substance to be tested. The anomaly of the substance to be tested is received according to a preset information carrier. The information carrier after the receiving operation is irradiated according to a set subatomic field generator and an ultraviolet radiation source to determine the corresponding radiation anomaly image of the substance to be tested. The radiation information of the substance to be tested is determined according to the radiation anomaly image of the substance to be tested.

[0010] 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 image of the survey area includes:

[0011] 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.

[0012] 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°;

[0013] 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.

[0014] 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.

[0015] 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 image of the exploration area.

[0016] Furthermore, the preprocessing operation on the remote sensing satellite images of the Kamchatka area to determine the corresponding preprocessed remote sensing satellite images includes:

[0017] Noise reduction and filtering operations are performed on the remote sensing satellite images of the survey area;

[0018] Color correction is performed on the remote sensing satellite images of the survey area after the noise reduction and filtering operations to determine the corresponding preprocessed remote sensing satellite images.

[0019] Further, the step of performing image fusion operation on the preprocessed remote sensing satellite image according to a preset image fusion algorithm to determine the corresponding fused remote sensing satellite image includes:

[0020] The preprocessed remote sensing satellite image is matched according to the feature point matching algorithm;

[0021] The preprocessed remote sensing satellite images after the matching operation are stitched together using an image stitching algorithm to determine the corresponding fused remote sensing satellite images.

[0022] Further, the step of correcting the fused remote sensing satellite image according to preset shooting parameters to determine the corresponding target material remote sensing satellite image includes:

[0023] The corresponding shooting parameters are determined according to the shooting environment, and the shooting parameters include at least one of flight parameters, sensor parameters, and atmospheric conditions;

[0024] The fused remote sensing satellite image is corrected according to the shooting parameters to determine the corresponding remote sensing satellite image of the target material.

[0025] Further, before performing a filtering operation on the film image obtained after the printing operation according to a preset optical filter to determine the corresponding anomaly of the substance to be tested, the process includes:

[0026] Based on the subatomic radiation characteristics of the preset test substance, the thickness of the preset test substance layer is selected to determine the corresponding test substance layer thickness.

[0027] The corresponding preset optical filter is determined based on the thickness of the material layer to be tested and the preset transparent plate.

[0028] Further, the step of performing a radiation operation on the information carrier after the receiving operation based on the set subatomic field generator and ultraviolet radiation source to determine the corresponding radiation anomaly image of the substance to be tested includes:

[0029] According to the setting, the subatomic field generator performs radiation operation on the information carrier after the receiving operation. The subatomic field generator includes a first coil and a second coil. The output of the first coil is 12V DC, and the output of the second coil is 220V AC. The first coil and the second coil are nested together.

[0030] The information carrier that has undergone the receiving operation is subjected to ultraviolet irradiation by an ultraviolet radiation source, wherein the ultraviolet radiation source is directly below the information carrier.

[0031] Based on the information carrier after the radiation operation and the ultraviolet irradiation operation, the corresponding radiation anomaly image of the substance to be tested is determined.

[0032] Secondly, this application provides a radiation information extraction device based on subatomic properties, comprising:

[0033] The remote sensing satellite image acquisition module is used to determine the specific range of the survey 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 image of the survey area.

[0034] The remote sensing satellite image processing module is used to preprocess the remote sensing satellite images of the survey area, determine the corresponding preprocessed remote sensing satellite images, perform image fusion operations on the preprocessed remote sensing satellite images according to a preset image fusion algorithm, determine the corresponding fused remote sensing satellite images, and perform correction operations on the fused remote sensing satellite images according to preset shooting parameters to determine the corresponding target material remote sensing satellite images.

[0035] The radiation information extraction module is used to perform development and drying operations on the remote sensing satellite image of the target material, determine the corresponding exposure image film of the target material, print the exposure image film of the target material, filter the film image obtained after the printing operation according to a preset optical filter, determine the corresponding anomaly of the test material, receive the anomaly of the test material according to a preset information carrier, perform radiation operation on the information carrier after the receiving operation according to a set subatomic field generator and ultraviolet radiation source, determine the corresponding radiation anomaly image of the test material, and determine the corresponding radiation information of the test material according to the radiation anomaly image of the test material.

[0036] 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 radiation information extraction method based on subatomic properties.

[0037] 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 radiation information extraction method based on subatomic properties.

[0038] Fifthly, this application provides a computer program product, including a computer program / instructions that, when executed by a processor, implement the steps of the radiation information extraction method based on subatomic characteristics.

[0039] As can be seen from the above technical solution, this application provides a radiation information extraction method and apparatus based on subatomic characteristics. By determining a remote sensing satellite image of the survey area, preprocessing the image to identify the corresponding target substance, developing and drying the target substance image to identify the corresponding target substance exposure film, filtering the film image after printing using a preset optical filter to identify the corresponding anomaly of the substance to be tested, receiving the anomaly of the substance to be tested using a preset information carrier, and irradiating the received information carrier using a set subatomic field generator and ultraviolet radiation source to identify the corresponding radiation anomaly image of the substance to be tested, and determining the corresponding radiation information of the substance to be tested based on the radiation anomaly image. This improves the efficiency and accuracy of radiation information extraction. Attached Figure Description

[0040] 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.

[0041] Figure 1 This is one of the flowcharts illustrating the radiation information extraction method based on subatomic properties in the embodiments of this application;

[0042] Figure 2 This is the second flowchart illustrating the radiation information extraction method based on subatomic properties in the embodiments of this application.

[0043] Figure 3 This is the third flowchart illustrating the radiation information extraction method based on subatomic properties in the embodiments of this application;

[0044] Figure 4 This is the fourth flowchart illustrating the radiation information extraction method based on subatomic properties in the embodiments of this application;

[0045] Figure 5 This is the fifth flowchart illustrating the radiation information extraction method based on subatomic properties in the embodiments of this application;

[0046] Figure 6 This is the sixth flowchart illustrating the radiation information extraction method based on subatomic properties in the embodiments of this application;

[0047] Figure 7 This is the seventh flowchart illustrating the radiation information extraction method based on subatomic properties in the embodiments of this application;

[0048] Figure 8 This is a schematic diagram of a subatomic field generator for the radiation information extraction method based on subatomic properties in the embodiments of this application;

[0049] Figure 9 This is a structural diagram of the radiation information extraction device based on subatomic properties in the embodiments of this application;

[0050] Figure 10 This is a schematic diagram of the structure of the electronic device in the embodiments of this application.

[0051] Figure label:

[0052] 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

[0053] 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.

[0054] The acquisition, storage, use, and processing of data in this application all comply with the relevant provisions of national laws and regulations.

[0055] Considering the current problems of low reliability and efficiency in subatomic radiation information extraction, this application provides a radiation information extraction method and apparatus based on subatomic characteristics. The method involves determining a remote sensing satellite image of a survey area, preprocessing the image to identify the corresponding target substance, developing and drying the target substance image to determine the corresponding exposed film, filtering the film image after printing using a preset optical filter to identify the corresponding anomaly of the substance, receiving the anomaly from a preset information carrier, and irradiating the received information carrier using a subatomic field generator and an ultraviolet radiation source to determine the corresponding radiation anomaly image of the substance. Finally, the method determines the corresponding radiation information of the substance, thereby improving the efficiency and accuracy of radiation information extraction.

[0056] To improve the efficiency and accuracy of radiation information extraction, this application provides an embodiment of a radiation information extraction method based on subatomic properties, see [link to embodiment]. Figure 1 The radiation information extraction method based on subatomic properties specifically includes the following:

[0057] Step S101: Determine the specific scope of the survey area, and perform remote sensing satellite data acquisition operations based on the specific scope, set scale, set shooting angle, set time period and set band to determine the corresponding remote sensing satellite image of the survey area.

[0058] Optionally, in this embodiment, the survey area is the overall observation area containing the substance to be tested. The specific scope of the survey area needs to be clearly defined, including the specific geographical scope and location of the survey work, including latitude and longitude coordinates and the approximate area.

[0059] Optionally, in this embodiment, the remote sensing satellite data acquisition operation specifies the required satellite data type, resolution, band, and temporal resolution based on the exploration objective. Satellites capable of providing the required scale, shooting angle, temporal resolution, and band are selected according to the needs. 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.

[0060] 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.

[0061] 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.

[0062] 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.

[0063] 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.

[0064] 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.

[0065] 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.

[0066] 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.

[0067] 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.

[0068] 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.

[0069] It is understandable that satellite images from different time periods can have the following observational functions:

[0070] 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.

[0071] 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.

[0072] 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.

[0073] 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.

[0074] 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.

[0075] 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.

[0076] 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).

[0077] 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.

[0078] Step S102: Perform preprocessing operations on the remote sensing satellite images of the survey area to determine the corresponding preprocessed remote sensing satellite images; perform image fusion operations on the preprocessed remote sensing satellite images according to a preset image fusion algorithm to determine the corresponding fused remote sensing satellite images; and perform correction operations on the fused remote sensing satellite images according to preset shooting parameters to determine the corresponding target material remote sensing satellite images.

[0079] Optionally, this step involves image processing of the remote sensing satellite image obtained in step S101, laying the foundation for efficient and accurate extraction of subatomic radiation information from the image.

[0080] Optionally, in this embodiment, the remote sensing satellite images of the Kamchatka area are preprocessed to determine the corresponding preprocessed remote sensing satellite images.

[0081] Specifically, the preprocessing operation mainly involves performing specific mathematical processing on the image, including:

[0082] 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.

[0083] 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.

[0084] 3. Thin cloud processing: Thin clouds appearing in remote sensing images are reduced due to weather conditions.

[0085] 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.

[0086] 5. Color Enhancement: To enhance the readability of the ground feature information contained in remote sensing images, it is necessary to perform enhancement processing on the remote sensing images. Histogram transformation is used to count the number of pixels of each brightness in the image. The random distribution of pixel brightness should be a normal distribution. If the histogram is not normally distributed, it means that the brightness distribution of the image is too bright, too dark, or the brightness is too concentrated, and the contrast of the image is low. It is necessary to adjust the histogram to a normal distribution to improve the image quality.

[0087] Understandably, the purpose of specialized mathematical processing is to reduce the impact of factors such as atmospheric interference and sensor noise. Simultaneously, techniques such as color correction and contrast enhancement are applied to improve image quality, making the obtained remote sensing satellite digital images more accurate while ensuring the extraction of more information.

[0088] Optionally, in this embodiment, the preprocessed remote sensing satellite image is subjected to image fusion operation according to a preset image fusion algorithm to determine the corresponding fused remote sensing satellite image.

[0089] Specifically, the image fusion algorithm employs a feature-point-based image registration algorithm to accurately register multiple images, ensuring seamless integration between them. Then, an image stitching algorithm is used to stitch the multiple images together into a complete image of the target region.

[0090] More specifically, feature-point-based image registration algorithms are techniques that achieve image alignment by detecting and matching feature points in two images and calculating the geometric transformation relationship between them. The implementation method is as follows:

[0091] Feature point detection: This is the first step in image registration, aiming to find salient and stable points, such as corner points and edge points, in two images. Commonly used feature point detection algorithms include Harris corner detection, Shi-Tomasi corner detection, SIFT (Scale Invariant Feature Transform), SURF (Speed-Up Robust Feature Transform), and ORB (Oriented Fast and Rotated BRIEF).

[0092] Feature descriptor extraction: For each detected feature point, a descriptor needs to be computed to quantify the surrounding local image structure. This descriptor should be robust to changes in illumination, rotation, scale, etc. For example, the SIFT algorithm uses a 128-dimensional vector to describe each feature point.

[0093] Feature point matching: This involves comparing the descriptors of feature points in two images to find matching point pairs. Common matching algorithms include brute-force matching and the fast nearest neighbor search algorithm (FLANN Matcher). To improve registration accuracy, the RANSAC (Random Sample Consensus) algorithm is typically used to eliminate mismatched points.

[0094] Transformation model estimation: Based on the matched feature point pairs, estimate the geometric transformation model between the two images, such as affine transformation, perspective transformation, etc. This step typically involves solving a system of linear equations to find the optimal transformation parameters.

[0095] Image Transformation and Resampling: An image is transformed using an estimated geometric transformation model to align it with another image. Then, the transformed image is resampled using an interpolation method to obtain the final registration result.

[0096] Specific algorithm example:

[0097] The SIFT algorithm first constructs a Gaussian pyramid for the image, then detects keypoints at each scale and calculates their orientation. Next, a 128-dimensional SIFT descriptor is generated for each keypoint. During the matching phase, Euclidean distance is used to measure the similarity between descriptors, finding the nearest neighbor matching point pairs. Finally, mismatches are removed using the RANSAC algorithm, and affine or perspective transformation models between the images are estimated.

[0098] The ORB algorithm uses the FAST algorithm to detect feature points and the BRIEF algorithm to compute feature descriptors. The ORB algorithm is rotation-invariant and robust to noise and lighting changes. Compared to the SIFT algorithm, the ORB algorithm has advantages in terms of computational speed and memory usage.

[0099] It is understandable that 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 lack of 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.

[0100] Optionally, in this embodiment, the fused remote sensing satellite image is corrected according to preset shooting parameters to determine the corresponding target material remote sensing satellite image.

[0101] Specifically, based on flight parameters, sensor parameters, and atmospheric conditions, radiometric and geometric corrections are performed on the images to eliminate image distortion and loss caused by equipment errors, atmospheric effects, and other factors.

[0102] The purpose of radiometric correction is to eliminate or reduce image radiometric distortion caused by factors such as sensor sensitivity and atmospheric attenuation. Radiometric correction includes:

[0103] Sensor calibration: This is to eliminate radiation errors caused by factors such as inconsistencies in sensor performance and unstable photoelectric conversion. Typically, this requires measuring the sensor's response function in a laboratory and then compensating accordingly during image processing.

[0104] Atmospheric correction: Water vapor, aerosols, and other substances in the atmosphere can absorb and scatter electromagnetic waves, causing image radiance values ​​to deviate from their true values. Preferably, atmospheric correction uses atmospheric radiative transfer models (such as MODTRAN, 6S, ACTOR, etc.) to simulate the transmission process of electromagnetic waves in the atmosphere and calculate the influence of the atmosphere on image radiance values, thereby performing correction.

[0105] The purpose of geometric correction is to eliminate or reduce geometric distortions caused by factors such as sensor platform position and attitude changes, Earth's rotation, and terrain undulations during image acquisition. Geometric correction includes:

[0106] Coarse geometric correction: Based on the orbital and attitude parameters of the remote sensing platform, preliminary geometric correction is performed on the image. Preferably, the image is resampled and interpolated.

[0107] Geometric fine correction: Building upon the coarse geometric correction, precise geometric correction is performed using ground control points (GCPs). First, a series of points with distinct features and known locations are selected on the image as GCPs. Then, by establishing a mathematical model between the geographic coordinates of the GCPs and the image coordinates, the image transformation parameters are solved. Finally, these parameters are used to resample and transform the image, achieving geometric fine correction.

[0108] Orthorectification: In orthorectification, to ensure accurate image positioning, existing accurate geographic coordinates and projection information are used to correct the original remote sensing image, giving it accurate geographic coordinates. A digital elevation model (DEM) is introduced to eliminate the influence of terrain undulations on the image's geometric position. By combining the DEM and the remote sensing image, the image can be corrected onto the orthophoto plane, resulting in an orthophoto image without terrain distortion.

[0109] It is understandable that radiometric and geometric corrections can significantly improve the radiometric and geometric accuracy of an image, enabling accurate image positioning and laying a solid data foundation for subsequent accurate and efficient extraction of radiometric information from the image.

[0110] Step S103: Perform a developing and drying operation on the remote sensing satellite image of the target material to determine the corresponding exposure image film of the target material. Perform a printing operation on the exposure image film of the target material. Perform a filtering operation on the film image obtained after the printing operation according to a preset optical filter to determine the corresponding anomaly of the substance to be tested. Perform a receiving operation on the anomaly of the substance to be tested according to a preset information carrier. Perform a radiation operation on the information carrier after the receiving operation according to a set subatomic field generator and an ultraviolet radiation source to determine the corresponding radiation anomaly image of the substance to be tested. Determine the corresponding radiation information of the substance to be tested based on the radiation anomaly image of the substance to be tested.

[0111] Optionally, this step involves performing subatomic radiation on the remote sensing satellite image of the target material obtained in step S102 above to accurately and efficiently obtain subatomic information of the material to be tested.

[0112] Optionally, in this embodiment, after taking satellite images of the research object, a negative is obtained by developing film, and photographic film, X-ray film or photographic paper is used as the information carrier to construct a filter for the substance to be tested.

[0113] A photo printer / enlarger is used to print the negatives, and an information carrier is used to receive the printed information. A filter for the substance under test is set between the photo printer / enlarger and the information carrier so that the information carrier can receive the anomalies of the substance under test.

[0114] Optionally, in this embodiment, a preset optical filter is used to locate the analyte. This filter is made of at least two transparent plates, with the desired target layer placed between them. The thickness of the target layer is selected from the conditions of the visible light filter. The analyte coating is placed on the target layer. For example, in the case of locating gold, gold powder is coated onto the target layer. When the target is defined as oil, the target layer must also be made of oil or a similar hydrocarbon material.

[0115] In any case, the coating of the substance under test must ensure that visible light passes through the filter so that the image of the film can be projected onto the information carrier. This condition is achieved by selecting the thickness of the coating of the substance under test.

[0116] Preferably, in this embodiment, a spectrometer is used to test the spectral transmittance of the filter system to ensure that its transmittance within the target wavelength range meets the design requirements. Through simulation experiments or actual tests, the filter system's response to subatomic radiation is verified to ensure that it can accurately extract the required radiation information.

[0117] Optionally, in this embodiment, a subatomic field generator and an ultraviolet radiation source are used to perform a radiation operation on the information carrier after the receiving operation to determine the corresponding radiation anomaly image of the substance to be tested.

[0118] While the aforementioned information carrier receives the printed information, a subatomic field generator is used to subject the information carrier to subatomic radiation in order to extract subatomic information from the substance to be tested.

[0119] Specifically, such as Figure 8 As shown, the subatomic field generator is constructed using two nested windings. The output of one coil, 810, is connected to a DC power supply of approximately 12V, while the output of the other coil, 811, is connected to an AC power supply of 220V. It is understandable that radiation at different energy levels has varying penetration capabilities and response characteristics to different types of geological structures or mineral compositions. By adjusting the radiation energy level, explorers can more accurately target specific strata or minerals, reducing false alarms and missed detections, and improving the accuracy of exploration results. The lepton radiation generated by the two coils has different characteristics, such as frequency, wavelength, or phase. This diversity enhances signal recognition capabilities and improves the differentiation of different geological structures during exploration. Furthermore, the influence of lepton radiation on the information carrier can improve the quality and contrast of the final image, resulting in better visualization of the tested material information and thus enhancing researchers' understanding of subsurface structures.

[0120] Optionally, in this embodiment, while the subatomic field generator radiates the information carrier, a fluorescent panel is placed below the information carrier. This fluorescent panel is illuminated by an ultraviolet radiation source, which is positioned directly below the fluorescent panel. It is understood that the above operation can enhance subatomic radiation and improve the efficiency and accuracy of subatomic radiation information extraction.

[0121] Ultimately, the information carrier, after being printed, filtered by the substance under test, irradiated by a subatomic generator, and exposed to ultraviolet light, can display an image of the radiation anomaly of the substance under test, which can be used for subsequent radiation anomaly analysis to obtain information about the substance under test.

[0122] This example demonstrates how this embodiment acquires satellite images, processes them, and extracts subatomic radiation information from the substance under test using subatomic radiation.

[0123] As described above, the radiation information extraction method based on subatomic characteristics provided in this application can, by determining a remote sensing satellite image of a survey area, preprocessing the remote sensing satellite image of the survey area to determine the corresponding remote sensing satellite image of the target substance, developing and drying the remote sensing satellite image of the target substance to determine the corresponding exposed image film of the target substance, filtering the film image after printing according to a preset optical filter to determine the corresponding anomaly of the substance to be tested, receiving the anomaly of the substance to be tested according to a preset information carrier, irradiating the information carrier after receiving according to a set subatomic field generator and ultraviolet radiation source to determine the corresponding radiation anomaly image of the substance to be tested, and determining the corresponding radiation information of the substance to be tested according to the radiation anomaly image of the substance to be tested. This can improve the efficiency and accuracy of radiation information extraction.

[0124] In one embodiment of the radiation information extraction method based on subatomic properties in this application, see [link to relevant documentation]. Figure 2 It can also specifically include the following:

[0125] 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.

[0126] 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°;

[0127] 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;

[0128] 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.

[0129] 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 image of the survey area.

[0130] Optionally, in this embodiment, a scale is set, and satellite images of different scales are customized according to the needs of the survey. This may involve extracting and synthesizing images of different scales from high-resolution satellite data. Professional software (such as ERDASIMAGINE, ArcGIS, etc.) is used to scale, crop, and stitch the images to meet the requirements of different scales.

[0131] 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.

[0132] 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.

[0133] 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.

[0134] Optionally, in this embodiment, the shooting angle is set to capture one satellite image every 3° within the range of 0-180°, ensuring that the satellite can adjust its shooting angle to cover the entire range. Considering the limitations of satellite orbit and attitude control, multiple flybys or combining data from multiple satellites may be necessary to achieve this.

[0135] 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.

[0136] 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.

[0137] 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.

[0138] Optionally, in this embodiment, 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. This ensures that the satellite can take stable pictures within the specified time period and records the precise time of each picture.

[0139] It is understandable that satellite images from different time periods can have the following observational functions:

[0140] 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.

[0141] 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.

[0142] Optionally, in this embodiment, five bands are defined: 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.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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).

[0147] 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.

[0148] Through step S205, this embodiment obtains comprehensive satellite images by customizing the scale, shooting angle, time period, and band, providing an information foundation for the subsequent accurate extraction of subatomic information.

[0149] In one embodiment of the radiation information extraction method based on subatomic properties in this application, see [link to relevant documentation]. Figure 3 It can also specifically include the following:

[0150] Step S301: Perform noise reduction and filtering operations on the remote sensing satellite images of the survey area;

[0151] Step S302: Perform color correction on the remote sensing satellite image of the survey area after the noise reduction and filtering operations to determine the corresponding preprocessed remote sensing satellite image.

[0152] Optionally, in this embodiment, the satellite images obtained in the above steps undergo specific mathematical processing to reduce the impact of atmospheric interference, sensor noise, and other factors in the images.

[0153] Optionally, in this embodiment, the specific mathematical processing is as follows:

[0154] 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.

[0155] 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.

[0156] 3. Thin cloud processing: Thin clouds appearing in remote sensing images are reduced due to weather conditions.

[0157] 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.

[0158] 5. Color Enhancement: To enhance the readability of the ground feature information contained in remote sensing images, it is necessary to perform enhancement processing on the remote sensing images. Histogram transformation is used to count the number of pixels of each brightness in the image. The random distribution of pixel brightness should be a normal distribution. If the histogram is not normally distributed, it means that the brightness distribution of the image is too bright, too dark, or the brightness is too concentrated, and the contrast of the image is low. It is necessary to adjust the histogram to a normal distribution to improve the image quality.

[0159] Through step S302, this embodiment achieves preprocessing of satellite images, reduces the impact of weather factors, and improves the accuracy of information extraction.

[0160] In one embodiment of the radiation information extraction method based on subatomic properties of this application, see [link to relevant documentation]. Figure 4 It can also specifically include the following:

[0161] Step S401: Perform a matching operation on the preprocessed remote sensing satellite image according to the feature point matching algorithm;

[0162] Step S402: Perform a stitching operation on the preprocessed remote sensing satellite image after the matching operation according to the image stitching algorithm to determine the corresponding fused remote sensing satellite image.

[0163] Optionally, in this embodiment, the feature-point-based image registration algorithm is a technique that achieves image alignment by detecting and matching feature points in two images and calculating the geometric transformation relationship between the images accordingly. The implementation method is as follows:

[0164] Feature point detection: This is the first step in image registration, aiming to find salient and stable points, such as corner points and edge points, in two images. Commonly used feature point detection algorithms include Harris corner detection, Shi-Tomasi corner detection, SIFT (Scale Invariant Feature Transform), SURF (Speed-Up Robust Feature Transform), and ORB (Oriented Fast and Rotated BRIEF).

[0165] Feature descriptor extraction: For each detected feature point, a descriptor needs to be computed to quantify the surrounding local image structure. This descriptor should be robust to changes in illumination, rotation, scale, etc. For example, the SIFT algorithm uses a 128-dimensional vector to describe each feature point.

[0166] Feature point matching: This involves comparing the descriptors of feature points in two images to find matching point pairs. Common matching algorithms include brute-force matching and the fast nearest neighbor search algorithm (FLANN Matcher). To improve registration accuracy, the RANSAC (Random Sample Consensus) algorithm is typically used to eliminate mismatched points.

[0167] Transformation model estimation: Based on the matched feature point pairs, estimate the geometric transformation model between the two images, such as affine transformation, perspective transformation, etc. This step typically involves solving a system of linear equations to find the optimal transformation parameters.

[0168] Image Transformation and Resampling: An image is transformed using an estimated geometric transformation model to align it with another image. Then, the transformed image is resampled using an interpolation method to obtain the final registration result.

[0169] Specific algorithm example:

[0170] The SIFT algorithm first constructs a Gaussian pyramid for the image, then detects keypoints at each scale and calculates their orientation. Next, a 128-dimensional SIFT descriptor is generated for each keypoint. During the matching phase, Euclidean distance is used to measure the similarity between descriptors, finding the nearest neighbor matching point pairs. Finally, mismatches are removed using the RANSAC algorithm, and affine or perspective transformation models between the images are estimated.

[0171] The ORB algorithm uses the FAST algorithm to detect feature points and the BRIEF algorithm to compute feature descriptors. The ORB algorithm is rotation-invariant and robust to noise and lighting changes. Compared to the SIFT algorithm, the ORB algorithm has advantages in terms of computational speed and memory usage.

[0172] It is understandable that 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 lack of 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.

[0173] Through step S402, this embodiment successfully fuses remote sensing satellite images based on feature matching, thereby improving the accuracy and precision of remote sensing image analysis.

[0174] In one embodiment of the radiation information extraction method based on subatomic properties of this application, see [link to relevant documentation]. Figure 5 It can also specifically include the following:

[0175] Step S501: Determine the corresponding shooting parameters according to the shooting environment. The shooting parameters include at least one of flight parameters, sensor parameters, and atmospheric conditions.

[0176] Step S502: Perform a correction operation on the fused remote sensing satellite image according to the shooting parameters to determine the corresponding target material remote sensing satellite image.

[0177] Optionally, in this embodiment, radiometric and geometric corrections are performed on the image based on flight parameters, sensor parameters, and atmospheric conditions to eliminate image distortion and loss caused by equipment errors, atmospheric effects, and other factors.

[0178] Optionally, in this embodiment, the purpose of radiometric correction is to eliminate or reduce image radiometric distortion caused by factors such as sensor sensitivity and atmospheric attenuation. Radiometric correction includes:

[0179] Sensor calibration: This is to eliminate radiation errors caused by factors such as inconsistencies in sensor performance and unstable photoelectric conversion. Typically, this requires measuring the sensor's response function in a laboratory and then compensating accordingly during image processing.

[0180] Atmospheric correction: Water vapor, aerosols, and other substances in the atmosphere can absorb and scatter electromagnetic waves, causing image radiance values ​​to deviate from their true values. Preferably, atmospheric correction uses atmospheric radiative transfer models (such as MODTRAN, 6S, ACTOR, etc.) to simulate the transmission process of electromagnetic waves in the atmosphere and calculate the influence of the atmosphere on image radiance values, thereby performing correction.

[0181] Optionally, in this embodiment, the purpose of geometric correction is to eliminate or reduce geometric distortion caused by factors such as sensor platform position and attitude changes, Earth's rotation, and terrain undulations during image acquisition. Geometric correction includes:

[0182] Coarse geometric correction: Based on the orbital and attitude parameters of the remote sensing platform, preliminary geometric correction is performed on the image. Preferably, the image is resampled and interpolated.

[0183] Geometric fine correction: Building upon the coarse geometric correction, precise geometric correction is performed using ground control points (GCPs). First, a series of points with distinct features and known locations are selected on the image as GCPs. Then, by establishing a mathematical model between the geographic coordinates of the GCPs and the image coordinates, the image transformation parameters are solved. Finally, these parameters are used to resample and transform the image, achieving geometric fine correction.

[0184] Orthorectification: In orthorectification, to ensure accurate image positioning, existing accurate geographic coordinates and projection information are used to correct the original remote sensing image, giving it accurate geographic coordinates. A digital elevation model (DEM) is introduced to eliminate the influence of terrain undulations on the image's geometric position. By combining the DEM and the remote sensing image, the image can be corrected onto the orthophoto plane, resulting in an orthophoto image without terrain distortion.

[0185] Through step S502, this embodiment successfully performed radiometric and geometric corrections, laying a solid data foundation for the subsequent accurate and efficient extraction of radiometric information from the image.

[0186] In one embodiment of the radiation information extraction method based on subatomic properties of this application, see [link to relevant documentation]. Figure 6 It can also specifically include the following:

[0187] Step S601: Perform a thickness selection operation on the preset test substance layer according to the subatomic radiation characteristics of the preset test substance to determine the corresponding test substance layer thickness.

[0188] Step S602: Determine the corresponding preset optical filter based on the thickness of the material layer to be tested and the preset transparent plate.

[0189] Optionally, in this embodiment, a preset optical filter is used to locate the analyte. This filter is made of at least two transparent plates, with the desired target layer placed between them. The thickness of the target layer is selected from the conditions of the visible light filter. The analyte coating is placed on the target layer. For example, in the case of locating gold, gold powder is coated onto the target layer. When the target is defined as oil, the target layer must also be made of oil or a similar hydrocarbon material.

[0190] In any case, the coating of the substance under test must ensure that visible light passes through the filter so that the image of the film can be projected onto the information carrier. This condition is achieved by selecting the thickness of the coating of the substance under test.

[0191] Preferably, in this embodiment, a spectrometer is used to test the spectral transmittance of the filter system to ensure that its transmittance within the target wavelength range meets the design requirements. Through simulation experiments or actual tests, the filter system's response to subatomic radiation is verified to ensure that it can accurately extract the required radiation information.

[0192] Through step S602, this embodiment successfully and accurately extracted the required radiation information through the filter of the substance under test.

[0193] In one embodiment of the radiation information extraction method based on subatomic properties in this application, see [link to relevant documentation]. Figure 7 It can also specifically include the following:

[0194] Step S701: Perform radiation operation on the information carrier after the receiving operation according to the set subatomic field generator, wherein the subatomic field generator includes a first coil and a second coil, the output of the first coil is 12V DC, the output of the second coil is 220V AC, and the first coil and the second coil are nested together.

[0195] Step S702: Irradiate the information carrier after the receiving operation with ultraviolet light according to the ultraviolet radiation source, wherein the ultraviolet radiation source is directly below the information carrier;

[0196] Step S703: Based on the information carrier after the radiation operation and the ultraviolet irradiation operation, determine the corresponding radiation anomaly image of the substance to be tested.

[0197] Optionally, in this embodiment, as Figure 8 As shown, the subatomic field generator is constructed using two nested windings. The output of one coil is connected to a DC power supply of approximately 12V, while the output of the other coil is connected to an AC power supply of 220V. It is understandable that radiation at different energy levels has varying penetration capabilities and response characteristics to different types of geological structures or mineral compositions. By adjusting the radiation energy level, explorers can more accurately target specific strata or minerals, reducing false alarms and missed detections, and improving the accuracy of exploration results. The lepton radiation generated by the two coils has different characteristics, such as frequency, wavelength, or phase. This diversity enhances signal recognition capabilities and improves the differentiation of different geological structures during exploration. Furthermore, the influence of lepton radiation on the information carrier can improve the quality and contrast of the final image, resulting in better visualization of the tested material information and thus enhancing researchers' understanding of subsurface structures.

[0198] Optionally, in this embodiment, while the subatomic field generator radiates the information carrier, a fluorescent panel is placed below the information carrier. This fluorescent panel is illuminated by an ultraviolet radiation source, which is positioned directly below the fluorescent panel. It is understood that the above operation can enhance subatomic radiation and improve the efficiency and accuracy of subatomic radiation information extraction.

[0199] Ultimately, the information carrier, after being printed, filtered by the substance under test, irradiated by a subatomic generator, and exposed to ultraviolet light, can display an image of the radiation anomaly of the substance under test, which can be used for subsequent radiation anomaly analysis to obtain information about the substance under test.

[0200] Through step S703, this embodiment successfully obtained an image of radiation anomaly of the substance under test on the information carrier by irradiating it with a subatomic field generator and an ultraviolet radiation source, laying the foundation for subsequent radiation anomaly analysis to obtain information about the substance under test.

[0201] To improve the efficiency and accuracy of radiation information extraction, this application provides an embodiment of a radiation information extraction device based on subatomic properties for implementing all or part of the aforementioned radiation information extraction method based on subatomic properties. See [link to embodiment]. Figure 9 The radiation information extraction device based on subatomic properties specifically includes the following components:

[0202] The remote sensing satellite image acquisition module 10 is used to determine the specific range of the survey 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 image of the survey area.

[0203] The remote sensing satellite image processing module 20 is used to perform preprocessing operations on the remote sensing satellite images of the survey area, determine the corresponding preprocessed remote sensing satellite images, perform image fusion operations on the preprocessed remote sensing satellite images according to a preset image fusion algorithm, determine the corresponding fused remote sensing satellite images, and perform correction operations on the fused remote sensing satellite images according to preset shooting parameters to determine the corresponding target material remote sensing satellite images.

[0204] The radiation information extraction module 30 is used to perform development and drying operations on the remote sensing satellite image of the target material, determine the corresponding target material exposure image film, print the target material exposure image film, filter the film image obtained after the printing operation according to a preset optical filter, determine the corresponding anomaly of the test material, receive the anomaly of the test material according to a preset information carrier, perform radiation operation on the information carrier after the receiving operation according to a set subatomic field generator and ultraviolet radiation source, determine the corresponding radiation anomaly image of the test material, and determine the corresponding radiation information of the test material according to the radiation anomaly image of the test material.

[0205] As described above, the radiation information extraction device based on subatomic characteristics provided in this application can determine the remote sensing satellite image of the survey area, perform preprocessing operations on the remote sensing satellite image of the survey area, determine the corresponding remote sensing satellite image of the target substance, perform development and drying operations on the remote sensing satellite image of the target substance, determine the corresponding exposure image film of the target substance, perform filtering operations on the film image after printing operations according to a preset optical filter, determine the corresponding anomaly of the substance to be tested, perform receiving operations on the anomaly of the substance to be tested according to a preset information carrier, perform radiation operations on the information carrier after receiving operations according to a set subatomic field generator and ultraviolet radiation source, determine the corresponding radiation anomaly image of the substance to be tested, and determine the corresponding radiation information of the substance to be tested according to the radiation anomaly image of the substance to be tested. This can improve the efficiency and accuracy of radiation information extraction.

[0206] From a hardware perspective, in order to improve the efficiency and accuracy of radiation information extraction, this application provides an embodiment of an electronic device for implementing all or part of the radiation information extraction method based on subatomic properties, wherein the electronic device specifically includes the following:

[0207] 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 subatomic-based radiation information extraction method and core business systems, user terminals, and related databases and other related devices; 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 subatomic-based radiation information extraction method in the present embodiment, and the contents of the embodiments are incorporated herein, and repeated details will not be described again.

[0208] 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.

[0209] In practical applications, parts of the radiation information extraction method based on subatomic properties can be executed on the electronic device side as described above, or all operations can be completed in the client device. The specific choice depends 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.

[0210] 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.

[0211] Figure 10 This is a schematic block diagram illustrating the system configuration of the electronic device 9600 according to an embodiment of this application. Figure 10 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 10 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.

[0212] In one embodiment, the radiation information extraction method based on subatomic properties can be integrated into the central processing unit 9100. The central processing unit 9100 can be configured to perform the following control:

[0213] Step S101: Determine the specific scope of the survey area, and perform remote sensing satellite data acquisition operations based on the specific scope, set scale, set shooting angle, set time period and set band to determine the corresponding remote sensing satellite image of the survey area.

[0214] Step S102: Perform preprocessing operations on the remote sensing satellite images of the survey area to determine the corresponding preprocessed remote sensing satellite images; perform image fusion operations on the preprocessed remote sensing satellite images according to a preset image fusion algorithm to determine the corresponding fused remote sensing satellite images; and perform correction operations on the fused remote sensing satellite images according to preset shooting parameters to determine the corresponding target material remote sensing satellite images.

[0215] Step S103: Perform a developing and drying operation on the remote sensing satellite image of the target material to determine the corresponding exposure image film of the target material. Perform a printing operation on the exposure image film of the target material. Perform a filtering operation on the film image obtained after the printing operation according to a preset optical filter to determine the corresponding anomaly of the substance to be tested. Perform a receiving operation on the anomaly of the substance to be tested according to a preset information carrier. Perform a radiation operation on the information carrier after the receiving operation according to a set subatomic field generator and an ultraviolet radiation source to determine the corresponding radiation anomaly image of the substance to be tested. Determine the corresponding radiation information of the substance to be tested based on the radiation anomaly image of the substance to be tested.

[0216] As described above, the electronic device provided in this application embodiment determines the remote sensing satellite image of the Kamchatka area, performs preprocessing operations on the remote sensing satellite image of the Kamchatka area, determines the corresponding remote sensing satellite image of the target substance, performs developing and drying operations on the remote sensing satellite image of the target substance, determines the corresponding exposed image film of the target substance, performs filtering operations on the film image after printing operations according to a preset optical filter, determines the corresponding anomaly of the substance to be tested, performs receiving operations on the anomaly of the substance to be tested according to a preset information carrier, performs radiation operations on the information carrier after receiving operations according to a set subatomic field generator and ultraviolet radiation source, determines the corresponding radiation anomaly image of the substance to be tested, and determines the corresponding radiation information of the substance to be tested based on the radiation anomaly image of the substance to be tested. This can improve the efficiency and accuracy of radiation information extraction.

[0217] In another embodiment, the radiation information extraction method based on subatomic characteristics can be configured separately from the central processing unit 9100. For example, the radiation information extraction method based on subatomic characteristics can be configured as a chip connected to the central processing unit 9100, and the function of the radiation information extraction method based on subatomic characteristics can be realized through the control of the central processing unit.

[0218] like Figure 10 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 10 All components shown; in addition, the electronic device 9600 may also include Figure 10 For components not shown, please refer to existing technologies.

[0219] like Figure 10 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.

[0220] 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.

[0221] 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.

[0222] The memory 9140 can be a solid-state memory, such as a read-only memory (ROM), random access memory (RAM), a 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.

[0223] 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.).

[0224] 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.

[0225] 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.

[0226] Embodiments of this application also provide a computer-readable storage medium capable of implementing all steps of the subatomic-based radiation information extraction method with a server or client as the execution subject in the above embodiments. The computer-readable storage medium stores a computer program that, when executed by a processor, implements all steps of the subatomic-based radiation information extraction method with a server or client as the execution subject in the above embodiments. For example, when the processor executes the computer program, it implements the following steps:

[0227] Step S101: Determine the specific scope of the survey area, and perform remote sensing satellite data acquisition operations based on the specific scope, set scale, set shooting angle, set time period and set band to determine the corresponding remote sensing satellite image of the survey area.

[0228] Step S102: Perform preprocessing operations on the remote sensing satellite images of the survey area to determine the corresponding preprocessed remote sensing satellite images; perform image fusion operations on the preprocessed remote sensing satellite images according to a preset image fusion algorithm to determine the corresponding fused remote sensing satellite images; and perform correction operations on the fused remote sensing satellite images according to preset shooting parameters to determine the corresponding target material remote sensing satellite images.

[0229] Step S103: Perform a developing and drying operation on the remote sensing satellite image of the target material to determine the corresponding exposure image film of the target material. Perform a printing operation on the exposure image film of the target material. Perform a filtering operation on the film image obtained after the printing operation according to a preset optical filter to determine the corresponding anomaly of the substance to be tested. Perform a receiving operation on the anomaly of the substance to be tested according to a preset information carrier. Perform a radiation operation on the information carrier after the receiving operation according to a set subatomic field generator and an ultraviolet radiation source to determine the corresponding radiation anomaly image of the substance to be tested. Determine the corresponding radiation information of the substance to be tested based on the radiation anomaly image of the substance to be tested.

[0230] As described above, the computer-readable storage medium provided in this application embodiment, by determining a remote sensing satellite image of the survey area, performing preprocessing operations on the remote sensing satellite image of the survey area, determining the corresponding remote sensing satellite image of the target substance, performing a developing and drying operation on the remote sensing satellite image of the target substance, determining the corresponding exposure image film of the target substance, filtering the film image after the printing operation according to a preset optical filter, determining the corresponding anomaly of the substance to be tested, receiving the anomaly of the substance to be tested according to a preset information carrier, irradiating the information carrier after the receiving operation according to a set subatomic field generator and an ultraviolet radiation source, determining the corresponding radiation anomaly image of the substance to be tested, and determining the corresponding radiation information of the substance to be tested according to the radiation anomaly image of the substance to be tested, can improve the efficiency and accuracy of radiation information extraction.

[0231] Embodiments of this application also provide a computer program product capable of implementing all steps in the subatomic-based radiation information extraction method described above, where the execution subject is a server or client. When executed by a processor, this computer program / instruction implements the steps of the subatomic-based radiation information extraction method. For example, the computer program / instruction implements the following steps:

[0232] Step S101: Determine the specific scope of the survey area, and perform remote sensing satellite data acquisition operations based on the specific scope, set scale, set shooting angle, set time period and set band to determine the corresponding remote sensing satellite image of the survey area.

[0233] Step S102: Perform preprocessing operations on the remote sensing satellite images of the survey area to determine the corresponding preprocessed remote sensing satellite images; perform image fusion operations on the preprocessed remote sensing satellite images according to a preset image fusion algorithm to determine the corresponding fused remote sensing satellite images; and perform correction operations on the fused remote sensing satellite images according to preset shooting parameters to determine the corresponding target material remote sensing satellite images.

[0234] Step S103: Perform a developing and drying operation on the remote sensing satellite image of the target material to determine the corresponding exposure image film of the target material. Perform a printing operation on the exposure image film of the target material. Perform a filtering operation on the film image obtained after the printing operation according to a preset optical filter to determine the corresponding anomaly of the substance to be tested. Perform a receiving operation on the anomaly of the substance to be tested according to a preset information carrier. Perform a radiation operation on the information carrier after the receiving operation according to a set subatomic field generator and an ultraviolet radiation source to determine the corresponding radiation anomaly image of the substance to be tested. Determine the corresponding radiation information of the substance to be tested based on the radiation anomaly image of the substance to be tested.

[0235] As described above, the computer program product provided in this application, by determining remote sensing satellite images of the Kamchatka area, performing preprocessing operations on the remote sensing satellite images of the Kamchatka area, determining the corresponding remote sensing satellite images of the target substance, performing developing and drying operations on the remote sensing satellite images of the target substance, determining the corresponding exposed image film of the target substance, performing filtering operations on the film image after the printing operation according to a preset optical filter, determining the corresponding anomaly of the substance to be tested, receiving the anomaly of the substance to be tested according to a preset information carrier, performing radiation operations on the information carrier after the receiving operation according to a set subatomic field generator and ultraviolet radiation source, determining the corresponding radiation anomaly image of the substance to be tested, and determining the corresponding radiation information of the substance to be tested according to the radiation anomaly image of the substance to be tested, thereby improving the efficiency and accuracy of radiation information extraction.

[0236] 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.

[0237] 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.

[0238] 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.

[0239] 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.

[0240] 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 for extracting radiation information based on subatomic properties, characterized in that, The method includes: Determine the specific scope of the survey area, and based on the specific scope, set the scale, set the shooting angle, set the time period and set the band, perform remote sensing satellite data acquisition operations to determine the corresponding remote sensing satellite image of the survey area; The remote sensing satellite images of the survey area are preprocessed to determine the corresponding preprocessed remote sensing satellite images. The preprocessed remote sensing satellite images are then fused according to a preset image fusion algorithm to determine the corresponding fused remote sensing satellite images. The fused remote sensing satellite images are then corrected according to preset shooting parameters to determine the corresponding target material remote sensing satellite images. The remote sensing satellite image of the target substance is developed and dried to determine the corresponding exposure image film of the target substance. The exposure image film of the target substance is then printed. The film image obtained after the printing operation is filtered according to a preset optical filter to determine the corresponding anomaly of the substance to be tested. The anomaly of the substance to be tested is received according to a preset information carrier. The information carrier after the receiving operation is irradiated according to a set subatomic field generator and an ultraviolet radiation source to determine the corresponding radiation anomaly image of the substance to be tested. The radiation information of the substance to be tested is determined according to the radiation anomaly image of the substance to be tested.

2. The radiation information extraction method based on subatomic properties according to claim 1, characterized in that, The process 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 image of the survey area, includes: 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. 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°; 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. 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. 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 image of the exploration area.

3. The radiation information extraction method based on subatomic properties according to claim 1, characterized in that, The preprocessing operation on the remote sensing satellite images of the Kamchatka area, to determine the corresponding preprocessed remote sensing satellite images, includes: Noise reduction and filtering operations are performed on the remote sensing satellite images of the survey area; Color correction is performed on the remote sensing satellite images of the survey area after the noise reduction and filtering operations to determine the corresponding preprocessed remote sensing satellite images.

4. The radiation information extraction method based on subatomic properties according to claim 1, characterized in that, The step of performing image fusion operation on the preprocessed remote sensing satellite image according to a preset image fusion algorithm to determine the corresponding fused remote sensing satellite image includes: The preprocessed remote sensing satellite image is matched according to the feature point matching algorithm; The preprocessed remote sensing satellite images after the matching operation are stitched together using an image stitching algorithm to determine the corresponding fused remote sensing satellite images.

5. The radiation information extraction method based on subatomic properties according to claim 1, characterized in that, The step of correcting the fused remote sensing satellite image according to preset shooting parameters to determine the corresponding target material remote sensing satellite image includes: The corresponding shooting parameters are determined according to the shooting environment, and the shooting parameters include at least one of flight parameters, sensor parameters, and atmospheric conditions; The fused remote sensing satellite image is corrected according to the shooting parameters to determine the corresponding remote sensing satellite image of the target material.

6. The radiation information extraction method based on subatomic properties according to claim 1, characterized in that, Before performing a filtering operation on the film image obtained after the printing operation according to a preset optical filter to determine the corresponding anomaly of the substance to be tested, the process includes: Based on the subatomic radiation characteristics of the preset test substance, the thickness of the preset test substance layer is selected to determine the corresponding test substance layer thickness. The corresponding preset optical filter is determined based on the thickness of the material layer to be tested and the preset transparent plate.

7. The radiation information extraction method based on subatomic properties according to claim 1, characterized in that, The step of performing a radiation operation on the information carrier after the receiving operation based on a set subatomic field generator and an ultraviolet radiation source to determine the corresponding radiation anomaly image of the substance to be tested includes: According to the setting, the subatomic field generator performs radiation operation on the information carrier after the receiving operation. The subatomic field generator includes a first coil and a second coil. The output of the first coil is 12V DC, and the output of the second coil is 220V AC. The first coil and the second coil are nested together. The information carrier that has undergone the receiving operation is subjected to ultraviolet irradiation by an ultraviolet radiation source, wherein the ultraviolet radiation source is directly below the information carrier. Based on the information carrier after the radiation operation and the ultraviolet irradiation operation, the corresponding radiation anomaly image of the substance to be tested is determined.

8. A radiation information extraction device based on subatomic properties, characterized in that, The device includes: The remote sensing satellite image acquisition module is used to determine the specific range of the survey 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 image of the survey area. The remote sensing satellite image processing module is used to preprocess the remote sensing satellite images of the survey area, determine the corresponding preprocessed remote sensing satellite images, perform image fusion operations on the preprocessed remote sensing satellite images according to a preset image fusion algorithm, determine the corresponding fused remote sensing satellite images, and perform correction operations on the fused remote sensing satellite images according to preset shooting parameters to determine the corresponding target material remote sensing satellite images. The radiation information extraction module is used to perform development and drying operations on the remote sensing satellite image of the target material, determine the corresponding target material exposure image film, print the target material exposure image film, filter the film image obtained after the printing operation according to a preset optical filter, determine the corresponding anomaly of the test material, receive the anomaly of the test material according to a preset information carrier, perform radiation operation on the information carrier after the receiving operation according to a set subatomic field generator and ultraviolet radiation source, determine the corresponding radiation anomaly image of the test material, and determine the corresponding radiation information of the test material according to the radiation anomaly image of the test material.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the radiation information extraction method based on subatomic properties as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the steps of the radiation information extraction method based on subatomic properties as described in any one of claims 1 to 7.

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