Radiation information extraction method and device based on subatomic characteristics

Abstract

The embodiment of the invention provides a radiation information extraction method and device based on subatomic characteristics, and the method comprises the steps: determining a remote sensing satellite image of an exploratory area, carrying out the preprocessing operation of the remote sensing satellite image of the exploratory area, determining a corresponding remote sensing satellite image of a target substance, and carrying out the development drying operation of the remote sensing satellite image of the target substance, determining a corresponding target substance exposure image negative film, performing filtering operation on a negative film image after printing operation according to a preset optical filter, determining a corresponding to-be-detected substance anomaly, and performing receiving operation on the to-be-detected substance anomaly according to a preset information carrier. And performing radiation operation on the information carrier subjected to the receiving operation according to the set sub-atomic field generator and the ultraviolet radiation source, determining the corresponding abnormal radiation image of the to-be-detected substance, and determining the corresponding radiation information of the to-be-detected substance according to the abnormal radiation image of the to-be-detected substance, so that the efficiency and the accuracy of radiation information extraction can be improved.

Description

Technical Field

[0001] The present application relates to the field of data processing, and in particular to a method and device for extracting radiation information based on subatomic characteristics. Background Art

[0002] Among the existing methods for the exploration of underground lithological materials and minerals (ore deposits), there is a known method for searching underground irregularities in the visible and infrared ranges of the electromagnetic spectrum by means of multispectral aerial photography, the results of which are input into a computer and conclusions about the existence of the object are drawn using a mathematical model based on the construction of the object under study; there is also a known method for finding endogenous sediments (such as tin) by carrying out multi-area aerial photography and identifying spectral brightness anomalies, the anomalies found on the ground correspond to the development areas of hydrothermal altered rocks, these areas are identified as the most promising areas for onshore mineral exploration; there is a known method for finding geological object deposits by infrared radiation aerial photography (IR aerial photography), which consists in continuously flying over the study area while scanning the Earth's surface recording wavelength ranges, processing the recorded signals and determining the coordinates of the identified sediment anomalies. These methods are very practical, but they do not allow the identification of geological objects, especially minerals, with the necessary reliability, because the search results are abnormally affected by various factors, including topography, vegetation, karst structures of the Earth's crust, etc.

[0003] For the above reasons, there is a method for extracting the lepton radiation of the object of study, which allows the study of the crustal lithology with sufficiently high reliability and rapidity. However, the extraction of the lepton radiation information of the object of study implies the need for significant computer processing of the received information when it is implemented. The presence of sufficiently complex digital equipment for processing information data reduces the reliability of the obtained results. Moreover, this method is relatively time-consuming, labor-intensive and requires a considerable amount of work. It cannot meet the requirements of high efficiency and accuracy of radiation information extraction based on subatomic properties. Summary of the invention

[0004] In response to the problems in the prior art, the present application provides a radiation information extraction method and device based on subatomic characteristics, which can improve the efficiency and accuracy of radiation information extraction.

[0005] In order to solve at least one of the above problems, the present application provides the following technical solutions:

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

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

[0008] Performing a preprocessing operation on the remote sensing satellite image of the survey area to determine a corresponding preprocessed remote sensing satellite image, performing an image fusion operation on the preprocessed remote sensing satellite image according to a preset image fusion algorithm to determine a corresponding fused remote sensing satellite image, and performing a correction operation on the fused remote sensing satellite image according to preset shooting parameters to determine a corresponding remote sensing satellite image of the target material;

[0009] Perform a developing and drying operation on the remote sensing satellite image of the target substance, determine the corresponding target substance exposure image negative, perform a printing operation on the target substance exposure image negative, perform a filtering operation on the negative film image obtained after the printing operation according to a preset optical filter, determine the corresponding abnormality of the substance to be tested, perform a receiving operation on the abnormality 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, determine the corresponding radiation abnormality image of the substance to be tested, and determine the corresponding radiation information of the substance to be tested according to the radiation abnormality image of the substance to be tested.

[0010] Furthermore, the remote sensing satellite data acquisition operation is performed according to the specific range, the set scale, the set shooting angle, the set time period and the set band to determine the corresponding remote sensing satellite image of the survey area, including:

[0011] Selecting a scale of the remote sensing satellite image according to the specific range to determine a corresponding set scale, wherein the set scale includes at least one of a large scale, a medium scale, and a small scale;

[0012] Selecting a shooting angle of the remote sensing satellite image according to the specific range to determine a corresponding set shooting angle, wherein the selection range of the set shooting angle is 0-180°;

[0013] Selecting a time period of the remote sensing satellite image according to the specific range to determine a corresponding set time period, wherein the time interval of the set time period is 30 minutes;

[0014] Selecting a band of the remote sensing satellite image according to the specific range to determine a corresponding set band, wherein the set band includes at least one of radio frequency, optical, short-wave infrared, long-wave infrared and ultraviolet;

[0015] The remote sensing satellite data acquisition operation is performed 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.

[0016] Furthermore, the preprocessing operation of the remote sensing satellite image of the survey area to determine the corresponding preprocessed remote sensing satellite image includes:

[0017] Performing noise reduction and filtering operations on the remote sensing satellite image of the survey area;

[0018] A color correction operation is performed on the remote sensing satellite image of the survey area after the noise reduction operation and the filtering operation to determine a corresponding preprocessed remote sensing satellite image.

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

[0020] Performing a matching operation on the pre-processed remote sensing satellite image according to a feature point matching algorithm;

[0021] The pre-processed remote sensing satellite image after the matching operation is stitched according to an image stitching algorithm to determine a corresponding fused remote sensing satellite image.

[0022] Furthermore, the correction operation is performed on the fused remote sensing satellite image according to the preset shooting parameters to determine the corresponding remote sensing satellite image of the target material, including:

[0023] Determine corresponding shooting parameters according to the shooting environment, wherein 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 a corresponding remote sensing satellite image of the target material.

[0025] Furthermore, before filtering the negative film image obtained after the printing operation according to the preset optical filter to determine that the corresponding substance to be tested is abnormal, it includes:

[0026] Performing a thickness selection operation on a preset material layer to be tested according to the subatomic radiation characteristics of the preset material to be tested, and determining the corresponding thickness of the material layer to be tested;

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

[0028] Furthermore, the step of performing a radiation operation on the information carrier after the receiving operation according to the setting of the subatomic field generator and the ultraviolet radiation source to determine the corresponding abnormal radiation image of the substance to be tested includes:

[0029] The subatomic field generator is set to perform a radiation operation on the information carrier after the receiving operation, wherein the subatomic field generator includes a first coil and a second coil, the output of the first coil is a 12V direct current, the output of the second coil is a 220V alternating current, and the first coil and the second coil are nested with each other;

[0030] Performing an ultraviolet irradiation operation on the information carrier after the receiving operation according to an ultraviolet radiation source, wherein the ultraviolet radiation source is directly below the information carrier;

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

[0032] In a second aspect, the present 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 scope of the survey area, perform remote sensing satellite data acquisition operations according to the specific scope, set scale, set shooting angle, set time period and set band, and determine the corresponding remote sensing satellite image of the survey area;

[0034] A remote sensing satellite image processing module is used to perform a preprocessing operation on the remote sensing satellite image of the survey area, determine a corresponding preprocessed remote sensing satellite image, perform an image fusion operation on the preprocessed remote sensing satellite image according to a preset image fusion algorithm, determine a corresponding fused remote sensing satellite image, perform a correction operation on the fused remote sensing satellite image according to preset shooting parameters, and determine a corresponding target material remote sensing satellite image;

[0035] The radiation information extraction module is used to perform a developing and drying operation on the remote sensing satellite image of the target substance, determine the corresponding target substance exposure image negative, print the target substance exposure image negative, filter the negative image obtained after the printing operation according to a preset optical filter, determine the corresponding abnormality of the substance to be tested, receive the abnormality of the substance to be tested according to a preset information carrier, radiate the information carrier after the receiving operation according to a set subatomic field generator and an ultraviolet radiation source, determine the corresponding abnormal radiation image of the substance to be tested, and determine the corresponding radiation information of the substance to be tested according to the abnormal radiation image of the substance to be tested.

[0036] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for extracting radiation information based on subatomic properties when executing the program.

[0037] In a fourth aspect, the present 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] In a fifth aspect, the present application provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the radiation information extraction method based on subatomic properties.

[0039] It can be seen from the above technical scheme that the present application provides a radiation information extraction method and device based on subatomic characteristics, by determining the remote sensing satellite image of the survey area, performing a preprocessing operation on the remote sensing satellite image of the survey area, determining the corresponding remote sensing satellite image of the target material, performing a developing and drying operation on the remote sensing satellite image of the target material, determining the corresponding target material exposure image negative, filtering the negative film image after the printing operation according to a preset optical filter, determining the corresponding abnormality of the substance to be tested, performing a receiving operation on the abnormality of the substance to be tested according to a preset information carrier, performing a radiation operation on the information carrier after the receiving operation according to a set subatomic field generator and an ultraviolet radiation source, determining the corresponding abnormal radiation image of the substance to be tested, and determining the corresponding radiation information of the substance to be tested according to the abnormal radiation image of the substance to be tested, thereby improving the efficiency and accuracy of radiation information extraction. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0041] Figure 1 This is one of the flow charts of the radiation information extraction method based on subatomic characteristics in the embodiment of the present application;

[0042] Figure 2 This is the second flow chart of the radiation information extraction method based on subatomic characteristics in the embodiment of the present application;

[0043] Figure 3 This is a third flow chart of the radiation information extraction method based on subatomic characteristics in an embodiment of the present application;

[0044] Figure 4 This is a fourth flow chart of the radiation information extraction method based on subatomic characteristics in an embodiment of the present application;

[0045] Figure 5 This is a fifth flow chart of the radiation information extraction method based on subatomic characteristics in the embodiment of the present application;

[0046] Figure 6 This is a sixth flow chart of the radiation information extraction method based on subatomic characteristics in the embodiment of the present application;

[0047] Figure 7 FIG7 is a flow chart of the radiation information extraction method based on subatomic characteristics in the embodiment of the present application;

[0048] Figure 8 A schematic diagram of a subatomic field generator of a radiation information extraction method based on subatomic characteristics in an embodiment of the present application;

[0049] Fig. 9 is a structural diagram of a radiation information extraction device based on subatomic characteristics in an embodiment of the present application;

[0050] Fig.10 It is a schematic diagram of the structure of an electronic device in an embodiment of the present application.

[0051] Reference numerals:

[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 program storage unit 9144, antenna 9111, speaker 9131, microphone 9132. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

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

[0055] Considering the current problems of low reliability and low efficiency of subatomic radiation information extraction. The present application provides a radiation information extraction method and device based on subatomic characteristics, by determining the remote sensing satellite image of the survey area, preprocessing the remote sensing satellite image of the survey area, determining the corresponding remote sensing satellite image of the target material, developing and drying the remote sensing satellite image of the target material, determining the corresponding target material exposure image negative film, filtering the negative film image after the printing operation according to the preset optical filter, determining the corresponding abnormality of the material to be tested, receiving the abnormality of the material to be tested according to the preset information carrier, radiating the information carrier after the receiving operation according to the set subatomic field generator and ultraviolet radiation source, determining the corresponding abnormal radiation image of the material to be tested, and determining the corresponding radiation information of the material to be tested according to the abnormal radiation image of the material to be tested, thereby improving the efficiency and accuracy of radiation information extraction.

[0056] In order to improve the efficiency and accuracy of radiation information extraction, the present application provides an embodiment of a radiation information extraction method based on subatomic characteristics, see Figure 1 The radiation information extraction method based on subatomic characteristics specifically includes the following contents:

[0057] Step S101: determining a specific scope of the survey area, performing a remote sensing satellite data acquisition operation according to the specific scope, setting a scale, setting a shooting angle, setting a time period, and setting a band, and determining a corresponding remote sensing satellite image of the survey area;

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

[0059] Optionally, in this embodiment, the remote sensing satellite data acquisition operation specifies the type, resolution, band, time resolution and other specific requirements of the required satellite data according to the survey purpose. Satellites that can provide the required scale, shooting angle, time resolution and band are selected according to the needs. High-resolution commercial satellites (such as GeoEye and WorldView series), scientific research satellites (such as Landsat and Sentinel series) or satellites for specific missions may be involved.

[0060] Specifically, set the scale and customize satellite images of different scales according to the survey needs. This may involve extracting and synthesizing images of different scales from high-resolution satellite data. Use professional software (such as ERDAS IMAGINE, ArcGIS, etc.) to scale, crop and splice images to meet the needs of different scales.

[0061] It is understandable that large-scale satellite images: small range, detailed content, suitable for precise measurement and detailed analysis. In mineral exploration, large-scale satellite images can clearly show the topography, geological structure and other detailed information of the mining area, which is helpful to find direct prospecting signs such as ore outcrops, mineralized alteration zones, etc.

[0062] Medium-scale satellite images: between large-scale and small-scale images, suitable for medium-scale regional surveys. In exploration work, medium-scale satellite images can provide more comprehensive regional geological background information, which helps to understand the structural framework and magmatic rock distribution of the mining area.

[0063] Small-scale satellite images: They show a wide range and a rough outline of the content, and are used to provide an overview of geographic information. Small-scale satellite images can show the geological structure and geomorphic features of the entire exploration area or even a larger area, which helps to grasp the geological background and prospecting direction of the mining area from a macro perspective.

[0064] Specifically, the shooting angle is set to take a 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 passes or combining data from multiple satellites may be required to meet this requirement.

[0065] It is understandable that low-angle shooting makes the subject appear taller and more magnificent, increasing the visual impact. In mineral exploration, low-angle satellite images can highlight the height difference of the mining area and enhance the understanding of the topographic features.

[0066] High-angle shooting: Show the overall view and details of the scene, and increase the layering of the picture. Satellite images shot at high angles can fully display the layout and geological structure characteristics of the mining area, which helps to understand the overall geological conditions of the mining area.

[0067] Multi-angle shooting: By shooting at different angles, you can obtain multi-perspective information of the mining area, which helps to more comprehensively understand the geological characteristics and ore body morphology of the mining area. This is of great significance for the three-dimensional modeling of mineral deposits and the analysis of ore body morphology.

[0068] Specifically, set a time period and customize a satellite image every 30 minutes for 24 hours a day. This requires the satellite to have a high-frequency revisit capability or to use multiple satellites for collaborative observation. Ensure that the satellite can take stable images within the specified time period and record the exact time of each shot.

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

[0070] Time series analysis can analyze the dynamic changes of mining areas by acquiring satellite images of different time periods. For example, in mineral exploration, the changes in vegetation coverage and surface water systems in mining areas can be analyzed to infer the geological effects and mineralization processes in mining areas.

[0071] Environmental change monitoring: Satellite images taken at different time periods can also be used to monitor environmental changes in mining areas, such as soil erosion, geological disasters, etc. This is of great significance for assessing environmental risks in mining areas and protecting the ecological environment.

[0072] Specifically, set the bands and customize satellite images in five bands: radio frequency, optical, short-wave infrared, long-wave infrared, and ultraviolet. This requires the satellite to have multi-spectral or hyperspectral imaging capabilities. According to the satellite's band coverage, select the band closest to the requirements for data collection.

[0073] It is understandable that the optical band is mainly used to obtain visible light and infrared band information in the mining area, reflecting the surface coverage and vegetation growth in the mining area. This is of great significance for understanding the natural environment and human activities in the mining area.

[0074] Short-wave infrared band: sensitive to the specific absorption characteristics of minerals, often used for mineral identification and lithology classification. In mineral exploration, short-wave infrared satellite images can reveal the absorption spectrum characteristics of minerals and help discover mineralized alteration zones and ore body outcrops.

[0075] Long-wave infrared band: Mainly used to monitor the surface temperature distribution and heat transfer process. In mineral exploration, long-wave infrared band satellite images can be used to study geothermal anomalies and underground hydrothermal activities in mining areas, providing clues for finding hydrothermal deposits.

[0076] Radio frequency and ultraviolet bands: Although not commonly used in conventional satellite remote sensing in mineral exploration, they have special application value under specific conditions (such as detecting underground pipelines, monitoring atmospheric composition, etc.).

[0077] In summary, satellite images of different scales, shooting angles, time periods, and bands have their own characteristics and functions 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: performing a preprocessing operation on the remote sensing satellite image of the survey area to determine a corresponding preprocessed remote sensing satellite image, performing an image fusion operation on the preprocessed remote sensing satellite image according to a preset image fusion algorithm to determine a corresponding fused remote sensing satellite image, performing a correction operation on the fused remote sensing satellite image according to preset shooting parameters to determine a corresponding target material remote sensing satellite image;

[0079] Optionally, this step is to perform image processing on the remote sensing satellite image obtained in step S101, so as to lay a foundation for the subsequent efficient and accurate extraction of subatomic radiation information from the image.

[0080] Optionally, in this embodiment, a preprocessing operation is performed on the remote sensing satellite image of the survey area to determine a corresponding preprocessed remote sensing satellite image.

[0081] Specifically, the preprocessing operation is mainly to perform special mathematical processing on the image, specifically:

[0082] 1. Noise reduction: Periodic noise will overlap on the source image to form a series of peaks or bright spots, which can be eliminated by bandpass or slot filtering methods; spike noise can be filtered by Fourier transform.

[0083] 2. Eliminate bad lines and stripes: To eliminate bad lines and stripes in remote sensing images, Fourier transform and low-pass filtering are generally used to eliminate them.

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

[0085] 4. Shadow processing: Due to the altitude of the sun, the mountain shadows that appear in the remote sensing image can be eliminated by using the ratio method.

[0086] 5. Color enhancement: In order to make the ground object information contained in the remote sensing image more readable, the remote sensing image needs to be enhanced. The histogram transformation is used to count the number of pixels of each brightness in the image. The random distribution of pixel brightness should be normally distributed. The non-normal distribution of the histogram indicates that the image brightness distribution is too bright, too dark, or the brightness is too concentrated. The image contrast is small. The histogram needs to be adjusted to a normal distribution to improve the image quality.

[0087] It is understandable that the purpose of special mathematical processing is to reduce the influence of atmospheric interference, sensor noise and other factors. At the same time, the application of color correction, contrast enhancement and other technologies can improve the image quality, make the remote sensing satellite digital images more accurate and ensure that more information can be extracted.

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

[0089] Specifically, the image fusion algorithm uses an image registration algorithm based on feature points to accurately register multiple images to ensure seamless connection between images. Then, the image stitching algorithm is used to stitch multiple images into a complete target area image.

[0090] More specifically, the feature point-based image registration algorithm is a technology that detects and matches feature points in two images and calculates the geometric transformation relationship between the images to achieve image alignment. The implementation method is:

[0091] Feature point detection: This is the first step in image registration, and its purpose is to find significant and stable points in two images, such as corner points, edge points, etc. Common feature point detection algorithms include Harris corner detection, Shi-Tomasi corner detection, SIFT (Scale Invariant Feature Transform), SURF (Speeded Robust Features), and ORB (Oriented FAST and RotatedBRIEF).

[0092] Feature descriptor extraction: For each feature point detected, a descriptor needs to be calculated to quantify the local image structure around it. 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: By comparing the descriptors of the feature points in the two images, matching point pairs are found. Common matching algorithms include Brute-Force Matcher and FLANN Matcher. In order to improve the accuracy of registration, the RANSAC (Random Sample Consensus) algorithm is usually 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 usually involves solving a set of linear equations to find the optimal transformation parameters.

[0095] Image transformation and resampling: Use the estimated geometric transformation model to transform one image to align it with the other image. Then, resample the transformed image through interpolation to obtain the final registration result.

[0096] Specific algorithm example:

[0097] SIFT algorithm: First, construct a Gaussian pyramid of the image, then detect key points at each scale and calculate their directions. Next, generate a 128-dimensional SIFT descriptor for each key point. In the matching stage, the Euclidean distance is used to measure the similarity between descriptors and find the nearest neighbor matching point pairs. Finally, the RANSAC algorithm is used to remove mismatched points and estimate the affine transformation or perspective transformation model between images.

[0098] ORB algorithm: Use the FAST algorithm to detect feature points and the BRIEF algorithm to calculate feature descriptors. The ORB algorithm is invariant to rotation and has certain robustness to noise and illumination changes. Compared with the SIFT algorithm, the ORB algorithm has advantages in computing speed and memory usage.

[0099] It is understandable that different remote sensing data have different spatial resolutions, populated resolutions and temporal resolutions. Fusion of multi-source remote sensing data in a unified coordinate system and use of certain algorithms to generate a set of synthetic images can make up for the lack of information in a single image, expand the application scope of each information and improve the accuracy of remote sensing image analysis.

[0100] Optionally, in this embodiment, a correction operation is performed on the fused remote sensing satellite image according to preset shooting parameters to determine a corresponding remote sensing satellite image of the target material.

[0101] Specifically, radiation correction and geometric correction are performed on the image according to flight parameters, sensor parameters, and atmospheric conditions to eliminate image aberration and distortion caused by equipment errors, atmospheric influences, and other factors.

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

[0103] Sensor calibration: This is to eliminate radiation errors caused by factors such as inconsistent sensor performance, unstable photoelectric conversion, etc. Usually, this requires measuring the sensor's response function in the laboratory and making corresponding compensation during image processing.

[0104] Atmospheric correction: Water vapor, aerosols, etc. in the atmosphere will absorb and scatter electromagnetic waves, causing the image radiation value to deviate from the true value. Preferably, atmospheric correction uses an atmospheric radiation transmission model (such as MODTRAN, 6S, ACTOR, etc.) to simulate the transmission process of electromagnetic waves in the atmosphere, and calculates the impact of the atmosphere on the image radiation value based on this, so as to perform correction.

[0105] The purpose of geometric correction is to eliminate or reduce the geometric distortion caused by factors such as sensor platform position, attitude change, earth rotation, terrain undulation, etc. during the image acquisition process. Geometric correction includes:

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

[0107] Fine geometric correction: Based on rough geometric correction, ground control points (GCP) are used for precise geometric correction. First, a series of points with obvious features and known positions are selected on the image as GCPs; then, the image transformation parameters are solved by establishing a mathematical model between the geographic coordinates of the GCPs and the image coordinates; finally, these parameters are used to resample and transform the image to achieve fine geometric correction.

[0108] Orthorectification: In orthorectification, in order to accurately locate the image, the original remote sensing image is corrected using the existing accurate geographic coordinate information and projection information to give it accurate geographic coordinate information. The influence of terrain undulations on the geometric position of the image is eliminated by introducing a digital elevation model (DEM). By combining DEM and remote sensing images, the image can be corrected to the ortho projection surface to obtain an orthophoto without terrain distortion.

[0109] It can be understood that radiation correction and geometric correction can significantly improve the radiation accuracy and geometric accuracy of the image, make the image positioning accurate, and lay a solid data foundation for the subsequent accurate and efficient extraction of radiation information in the image.

[0110] Step S103: developing and drying the remote sensing satellite image of the target substance, determining the corresponding target substance exposure image negative, printing the target substance exposure image negative, filtering the negative image obtained after the printing operation according to a preset optical filter, determining the corresponding abnormality of the substance to be tested, receiving the abnormality of the substance to be tested according to a preset information carrier, radiating the information carrier after the receiving operation according to the set subatomic field generator and ultraviolet radiation source, determining the corresponding abnormal radiation image of the substance to be tested, and determining the corresponding radiation information of the substance to be tested according to the abnormal radiation image of the substance to be tested.

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

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

[0113] A photo printer / enlarger is used to print the negative film, and an information carrier is used to receive the printed information. A constructed filter for the substance to be tested is arranged between the photo printer / enlarger and the information carrier so that the information carrier receives abnormalities in the substance to be tested.

[0114] Optionally, in this embodiment, an optical filter is preset for searching for the substance to be tested, wherein a filter made in the form of at least two transparent plates is installed, a desired object layer is placed between the transparent plates, the thickness of the desired object layer is selected from the conditions of the filter that passes the visible light, and a coating of the substance to be tested is placed on the object layer. For example, in the case of searching for gold, powder of the gold element is applied to the object layer. When defined as target oil, the object layer must also be made of oil or similar hydrocarbon materials.

[0115] In any case, the coating of the substance to be tested must ensure that visible light passes through the filter in order to project the image of the negative onto the information carrier. This condition is achieved by choosing the thickness of the coating of the substance to be tested.

[0116] Preferably, in this embodiment, a spectrum analyzer 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 set to perform a radiation operation on the information carrier after the receiving operation to determine the corresponding abnormal radiation image of the substance to be tested.

[0118] While the above-mentioned information carrier receives the printed information, a subatomic field generator is used to perform subatomic radiation on the information carrier to extract the subatomic information of the substance to be tested.

[0119] Specifically, Figure 8 As shown, the subatomic field generator is made in the form of two windings nested in each other, where the output of one coil 810 is connected to a DC power supply with a voltage of about 12V, and the output of the other coil 811 is connected to an AC power supply with a voltage of 220V. It can be understood that radiation of different energy levels has different penetration capabilities and response characteristics for different types of geological structures or mineral components. By adjusting the radiation energy level, explorers can more accurately detect target strata or minerals, reduce false positives and false negatives, and improve the accuracy of exploration results. The lepton radiation generated by the two coils has different characteristics, such as frequency, wavelength or phase. This diversity can enhance the recognition ability of the signal and improve the distinction between different geological structures during the exploration process. And the influence of lepton radiation on the information carrier can improve the quality and contrast of the final imaging, so that the visualization effect of the information of the material to be tested is better, thereby improving researchers' understanding of the underground structure.

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

[0121] Finally, after printing, filtering of the substance to be tested, radiation from a subatomic generator, and ultraviolet irradiation, an image of radiation anomaly of the substance to be tested can be presented on the information carrier, which can be used for subsequent radiation anomaly analysis to obtain information about the substance to be tested.

[0122] This example demonstrates how to obtain satellite images, process the satellite images, and extract subatomic radiation information of the substance to be tested through subatomic radiation.

[0123] From the above description, it can be seen that the radiation information extraction method based on subatomic characteristics provided in the embodiment of the present 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 material, perform developing and drying operations on the remote sensing satellite image of the target material, determine the corresponding target material exposure image film, filter the film image after the printing operation according to a preset optical filter, determine the corresponding abnormality of the material to be tested, receive the abnormality of the material to be tested according to a preset information carrier, radiate the information carrier after the receiving operation according to the set subatomic field generator and the ultraviolet radiation source, determine the corresponding radiation abnormality image of the material to be tested, and determine the corresponding radiation information of the material to be tested according to the radiation abnormality image of the material to be tested, thereby improving the efficiency and accuracy of radiation information extraction.

[0124] In one embodiment of the radiation information extraction method based on subatomic properties of the present application, see Figure 2 , and can also include the following:

[0125] Step S201: selecting a scale of the remote sensing satellite image according to the specific range to determine a corresponding set scale, wherein the set scale includes at least one of a large scale, a medium scale, and a small scale;

[0126] Step S202: selecting a shooting angle of the remote sensing satellite image according to the specific range, and determining a corresponding set shooting angle, wherein the selection range of the set shooting angle is 0-180°;

[0127] Step S203: selecting a time period of the remote sensing satellite image according to the specific range, and determining a corresponding set time period, wherein the time interval of the set time period is 30 minutes;

[0128] Step S204: selecting a band of the remote sensing satellite image according to the specific range to determine a corresponding set band, wherein the set band includes at least one of radio frequency, optical, short-wave infrared, long-wave infrared and ultraviolet;

[0129] Step S205: performing remote sensing satellite data acquisition operations according to the set scale, the set shooting angle, the set time period and the set band to determine the corresponding remote sensing satellite image of the survey area.

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

[0131] It is understandable that large-scale satellite images: small range, detailed content, suitable for precise measurement and detailed analysis. In mineral exploration, large-scale satellite images can clearly show the topography, geological structure and other detailed information of the mining area, which is helpful to find direct prospecting signs such as ore outcrops, mineralized alteration zones, etc.

[0132] Medium-scale satellite images: between large-scale and small-scale images, suitable for medium-scale regional surveys. In exploration work, medium-scale satellite images can provide more comprehensive regional geological background information, which helps to understand the structural framework and magmatic rock distribution of the mining area.

[0133] Small-scale satellite images: They show a wide range and a rough outline of the content, and are used to provide an overview of geographic information. Small-scale satellite images can show the geological structure and geomorphic features of the entire exploration area or even a larger area, which helps to grasp the geological background and prospecting direction of the mining area from a macro perspective.

[0134] Optionally, in this embodiment, the shooting angle is set to take a 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 transits or combining data from multiple satellites may be required to meet this requirement.

[0135] It is understandable that low-angle shooting makes the subject appear taller and more magnificent, increasing the visual impact. In mineral exploration, low-angle satellite images can highlight the height difference of the mining area and enhance the understanding of the topographic features.

[0136] High-angle shooting: Show the overall view and details of the scene, and increase the layering of the picture. Satellite images shot at high angles can fully display the layout and geological structure characteristics of the mining area, which helps to understand the overall geological conditions of the mining area.

[0137] Multi-angle shooting: By shooting at different angles, you can obtain multi-perspective information of the mining area, which helps to more comprehensively understand the geological characteristics and ore body morphology of the mining area. This is of great significance for the three-dimensional modeling of mineral deposits and the analysis of ore body morphology.

[0138] Optionally, in this embodiment, a time period is set to customize a satellite image every 30 minutes for 24 hours a day. This requires the satellite to have a high-frequency revisit capability or to use multiple satellites for collaborative observation. Ensure that the satellite can stably shoot within the specified time period and record the exact time of each shooting.

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

[0140] Time series analysis can analyze the dynamic changes of mining areas by acquiring satellite images of different time periods. For example, in mineral exploration, the changes in vegetation coverage and surface water systems in mining areas can be analyzed to infer the geological effects and mineralization processes in mining areas.

[0141] Environmental change monitoring: Satellite images taken at different time periods can also be used to monitor environmental changes in mining areas, such as soil erosion, geological disasters, etc. This is of great significance for assessing environmental risks in mining areas and protecting the ecological environment.

[0142] Optionally, in this embodiment, the band is set to customize satellite images of five bands: radio frequency, optical, short-wave infrared, long-wave infrared, and ultraviolet. This requires the satellite to have multi-spectral or hyperspectral imaging capabilities. According to the band coverage of the satellite, the band closest to the requirements is selected for data collection.

[0143] It is understandable that the optical band is mainly used to obtain visible light and infrared band information in the mining area, reflecting the surface coverage and vegetation growth in the mining area. This is of great significance for understanding the natural environment and human activities in the mining area.

[0144] Short-wave infrared band: sensitive to the specific absorption characteristics of minerals, often used for mineral identification and lithology classification. In mineral exploration, short-wave infrared satellite images can reveal the absorption spectrum characteristics of minerals and help discover mineralized alteration zones and ore body outcrops.

[0145] Long-wave infrared band: Mainly used to monitor the surface temperature distribution and heat transfer process. In mineral exploration, long-wave infrared band satellite images can be used to study geothermal anomalies and underground hydrothermal activities in mining areas, providing clues for finding hydrothermal deposits.

[0146] Radio frequency and ultraviolet bands: Although not commonly used in conventional satellite remote sensing in mineral exploration, they have special application value under specific conditions (such as detecting underground pipelines, monitoring atmospheric composition, etc.).

[0147] In summary, satellite images of different scales, shooting angles, time periods, and bands have their own characteristics and functions 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 a comprehensive satellite image by customizing the scale, shooting angle, time period and band, which provides an information basis for the subsequent accurate extraction of subatomic information.

[0149] In one embodiment of the radiation information extraction method based on subatomic properties of the present application, see Figure 3 , and can also include the following:

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

[0151] Step S302: performing a color correction operation on the remote sensing satellite image of the survey area after the noise reduction operation and the filtering operation, and determining a corresponding pre-processed remote sensing satellite image.

[0152] Optionally, in this embodiment, special mathematical processing is performed on the satellite images obtained in the above steps to reduce the influence of factors such as atmospheric interference and sensor noise in the images.

[0153] Optionally, in this embodiment, the special mathematical processing is specifically:

[0154] 1. Noise reduction: Periodic noise will overlap on the source image to form a series of peaks or bright spots, which can be eliminated by bandpass or slot filtering methods; spike noise can be filtered by Fourier transform.

[0155] 2. Eliminate bad lines and stripes: To eliminate bad lines and stripes in remote sensing images, Fourier transform and low-pass filtering are generally used to eliminate them.

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

[0157] 4. Shadow processing: Due to the altitude of the sun, the mountain shadows that appear in the remote sensing image can be eliminated by using the ratio method.

[0158] 5. Color enhancement: In order to make the ground object information contained in the remote sensing image more readable, the remote sensing image needs to be enhanced. The histogram transformation is used to count the number of pixels of each brightness in the image. The random distribution of pixel brightness should be normally distributed. The non-normal distribution of the histogram indicates that the image brightness distribution is too bright, too dark, or the brightness is too concentrated. The image contrast is small. The histogram needs to be adjusted to a normal distribution to improve the image quality.

[0159] Through step S302, this embodiment implements 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 the present application, see Figure 4 , and can also include the following:

[0161] Step S401: performing a matching operation on the pre-processed remote sensing satellite image according to a feature point matching algorithm;

[0162] Step S402: performing a stitching operation on the pre-processed remote sensing satellite image after the matching operation according to an image stitching algorithm to determine a corresponding fused remote sensing satellite image.

[0163] Optionally, in this embodiment, the feature point-based image registration algorithm is a technology that detects and matches feature points in two images and calculates the geometric transformation relationship between the images to achieve image alignment. The implementation method is:

[0164] Feature point detection: This is the first step in image registration, and its purpose is to find significant and stable points in two images, such as corner points, edge points, etc. Common feature point detection algorithms include Harris corner detection, Shi-Tomasi corner detection, SIFT (Scale Invariant Feature Transform), SURF (Speeded Robust Features), and ORB (Oriented FAST and RotatedBRIEF).

[0165] Feature descriptor extraction: For each feature point detected, a descriptor needs to be calculated to quantify the local image structure around it. 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: By comparing the descriptors of the feature points in the two images, matching point pairs are found. Common matching algorithms include Brute-Force Matcher and FLANN Matcher. In order to improve the accuracy of registration, the RANSAC (Random Sample Consensus) algorithm is usually 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 usually involves solving a set of linear equations to find the optimal transformation parameters.

[0168] Image transformation and resampling: Use the estimated geometric transformation model to transform one image to align it with the other image. Then, resample the transformed image through interpolation to obtain the final registration result.

[0169] Specific algorithm example:

[0170] SIFT algorithm: First, construct a Gaussian pyramid of the image, then detect key points at each scale and calculate their directions. Next, generate a 128-dimensional SIFT descriptor for each key point. In the matching stage, the Euclidean distance is used to measure the similarity between descriptors and find the nearest neighbor matching point pairs. Finally, the RANSAC algorithm is used to remove mismatched points and estimate the affine transformation or perspective transformation model between images.

[0171] ORB algorithm: Use the FAST algorithm to detect feature points and the BRIEF algorithm to calculate feature descriptors. The ORB algorithm is invariant to rotation and has certain robustness to noise and illumination changes. Compared with the SIFT algorithm, the ORB algorithm has advantages in computing speed and memory usage.

[0172] It is understandable that different remote sensing data have different spatial resolutions, populated resolutions and temporal resolutions. Fusion of multi-source remote sensing data in a unified coordinate system and use of certain algorithms to generate a set of synthetic images can make up for the lack of information in a single image, expand the application scope of each information and improve the accuracy of remote sensing image analysis.

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

[0174] In one embodiment of the radiation information extraction method based on subatomic properties of the present application, see Figure 5 , and can also include the following:

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

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

[0177] Optionally, in this embodiment, radiation correction and geometric correction are performed on the image based on flight parameters, sensor parameters, and atmospheric conditions to eliminate image aberrations and distortions caused by equipment errors, atmospheric effects, and other factors.

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

[0179] Sensor calibration: This is to eliminate radiation errors caused by factors such as inconsistent sensor performance, unstable photoelectric conversion, etc. Usually, this requires measuring the sensor's response function in the laboratory and making corresponding compensation during image processing.

[0180] Atmospheric correction: Water vapor, aerosols, etc. in the atmosphere will absorb and scatter electromagnetic waves, causing the image radiation value to deviate from the true value. Preferably, atmospheric correction uses an atmospheric radiation transmission model (such as MODTRAN, 6S, ACTOR, etc.) to simulate the transmission process of electromagnetic waves in the atmosphere, and calculates the impact of the atmosphere on the image radiation value based on this, so as to perform correction.

[0181] Optionally, in this embodiment, the purpose of geometric correction is to eliminate or reduce geometric distortion of the image caused by factors such as sensor platform position, attitude change, earth rotation, terrain undulation, etc. during the acquisition process. Geometric correction includes:

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

[0183] Fine geometric correction: Based on rough geometric correction, ground control points (GCP) are used for precise geometric correction. First, a series of points with obvious features and known positions are selected on the image as GCPs; then, the image transformation parameters are solved by establishing a mathematical model between the geographic coordinates of the GCPs and the image coordinates; finally, these parameters are used to resample and transform the image to achieve fine geometric correction.

[0184] Orthorectification: In orthorectification, in order to accurately locate the image, the original remote sensing image is corrected using the existing accurate geographic coordinate information and projection information to give it accurate geographic coordinate information. The influence of terrain undulations on the geometric position of the image is eliminated by introducing a digital elevation model (DEM). By combining DEM and remote sensing images, the image can be corrected to the ortho projection surface to obtain an orthophoto without terrain distortion.

[0185] Through step S502, this embodiment successfully performs radiation correction and geometric correction, laying a solid data foundation for the subsequent accurate and efficient extraction of radiation information in the image.

[0186] In one embodiment of the radiation information extraction method based on subatomic properties of the present application, see Figure 6 , and can also include the following:

[0187] Step S601: performing a thickness selection operation on a preset material layer to be tested according to the subatomic radiation characteristics of the preset material to be tested, and determining the thickness of the corresponding material layer to be tested;

[0188] Step S602: determining a corresponding preset optical filter according to the thickness of the material layer to be measured and the preset transparent plate.

[0189] Optionally, in this embodiment, an optical filter is preset for searching for the substance to be tested, wherein a filter made in the form of at least two transparent plates is installed, a desired object layer is placed between the transparent plates, the thickness of the desired object layer is selected from the conditions of the filter that passes the visible light, and a coating of the substance to be tested is placed on the object layer. For example, in the case of searching for gold, powder of the gold element is applied to the object layer. When defined as target oil, the object layer must also be made of oil or similar hydrocarbon materials.

[0190] In any case, the coating of the substance to be tested must ensure that visible light passes through the filter in order to project the image of the negative onto the information carrier. This condition is achieved by choosing the thickness of the coating of the substance to be tested.

[0191] Preferably, in this embodiment, a spectrum analyzer 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 extracts the required radiation information accurately through the optical filter of the substance to be tested.

[0193] In one embodiment of the radiation information extraction method based on subatomic properties of the present application, see Figure 7 , and can also include the following:

[0194] Step S701: performing a radiation operation on the information carrier after the receiving operation according to a setting of a subatomic field generator, wherein the subatomic field generator includes a first coil and a second coil, the output of the first coil is a 12V direct current, the output of the second coil is a 220V alternating current, and the first coil and the second coil are nested with each other;

[0195] Step S702: performing an ultraviolet irradiation operation on the information carrier after the receiving operation according to an ultraviolet radiation source, wherein the ultraviolet radiation source is directly below the information carrier;

[0196] Step S703: determining a corresponding abnormal radiation image of the substance to be tested according to the information carrier after the radiation operation and the ultraviolet irradiation operation.

[0197] Optionally, in this embodiment, if Figure 8 As shown, the subatomic field generator is made in the form of two windings nested in each other, where the output of one coil is connected to a DC power supply with a voltage of about 12V, and the output of the other coil is connected to an AC power supply with a voltage of 220V. It can be understood that radiation of different energy levels has different penetration capabilities and response characteristics for different types of geological structures or mineral components. By adjusting the radiation energy level, explorers can more accurately detect target strata or minerals, reduce false positives and false negatives, and improve the accuracy of exploration results. The lepton radiation generated by the two coils has different characteristics, such as frequency, wavelength or phase. This diversity can enhance the recognition ability of the signal and improve the distinction between different geological structures during the exploration process. And the influence of lepton radiation on the information carrier can improve the quality and contrast of the final imaging, making the visualization of the information of the material to be tested better, thereby improving researchers' understanding of the underground structure.

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

[0199] Finally, after printing, filtering of the substance to be tested, radiation from a subatomic generator, and ultraviolet irradiation, an image of radiation anomaly of the substance to be tested can be presented on the information carrier, which can be used for subsequent radiation anomaly analysis to obtain information about the substance to be tested.

[0200] Through step S703, this embodiment successfully obtains a radiation anomaly image of the substance to be tested on the information carrier based on the irradiation of the information carrier by the subatomic field generator and the ultraviolet radiation source, laying a foundation for subsequent radiation anomaly analysis to obtain information on the substance to be tested.

[0201] In order to improve the efficiency and accuracy of radiation information extraction, the present application provides an embodiment of a radiation information extraction device based on subatomic characteristics for implementing all or part of the content of the radiation information extraction method based on subatomic characteristics, see Fig. 9 The radiation information extraction device based on subatomic characteristics specifically includes the following contents:

[0202] The remote sensing satellite image acquisition module 10 is used to determine the specific scope of the survey area, perform remote sensing satellite data acquisition operations according to the specific scope, set scale, set shooting angle, set time period and set band, and determine the corresponding remote sensing satellite image of the survey area;

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

[0204] The radiation information extraction module 30 is used to perform a developing and drying operation on the remote sensing satellite image of the target substance, determine the corresponding target substance exposure image negative, print the target substance exposure image negative, filter the negative image obtained after the printing operation according to a preset optical filter, determine the corresponding abnormality of the substance to be tested, receive the abnormality of the substance to be tested according to a preset information carrier, radiate the information carrier after the receiving operation according to the set subatomic field generator and ultraviolet radiation source, determine the corresponding abnormal radiation image of the substance to be tested, and determine the corresponding radiation information of the substance to be tested according to the abnormal radiation image of the substance to be tested.

[0205] From the above description, it can be seen that the radiation information extraction device based on subatomic characteristics provided in the embodiment of the present 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 material, perform developing and drying operations on the remote sensing satellite image of the target material, determine the corresponding target material exposure image film, filter the film image after the printing operation according to a preset optical filter, determine the corresponding abnormality of the material to be tested, receive the abnormality of the material to be tested according to a preset information carrier, radiate the information carrier after the receiving operation according to the set subatomic field generator and the ultraviolet radiation source, determine the corresponding radiation abnormality image of the material to be tested, and determine the corresponding radiation information of the material to be tested according to the radiation abnormality image of the material to be tested, thereby improving the efficiency and accuracy of radiation information extraction.

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

[0207] Processor, memory, communication interface and bus; wherein the processor, memory and communication interface communicate with each other through the bus; the communication interface is used to realize information transmission between the radiation information extraction method based on subatomic characteristics and related devices such as core business systems, user terminals and related databases; the logic controller can be a desktop computer, a tablet computer and a mobile terminal, etc., but the present embodiment is not limited thereto. In the present embodiment, the logic controller can be implemented with reference to the embodiment of the radiation information extraction method based on subatomic characteristics and the embodiment of the radiation information extraction method based on subatomic characteristics in the embodiment, and the contents thereof are incorporated herein, and the repeated parts are not repeated.

[0208] It is understandable that the user terminal may include a smart phone, a tablet electronic device, a network set-top box, a portable computer, a desktop computer, a personal digital assistant (PDA), a vehicle-mounted device, a smart wearable device, etc. Among them, the smart wearable device may include smart glasses, a smart watch, a smart bracelet, etc.

[0209] In practical applications, part of the radiation information extraction method based on subatomic characteristics can be executed on the electronic device side as described above, or all operations can be completed in the client device. The specific selection can be based on the processing capability of the client device and the limitations of the user's usage scenario. This application does not limit this. If all operations are completed in the client device, the client device may also include a processor.

[0210] The client device may have a communication module (i.e., a communication unit) that can communicate with a remote server to achieve data transmission with the server. The server may include a server on the task scheduling center side, and other implementation scenarios 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, or a server cluster consisting of multiple servers, or a server structure of a distributed device.

[0211] Fig.10 FIG. 9 is a schematic block diagram of the system structure of the electronic device 9600 according to an embodiment of the present application. Fig.10 As shown, the electronic device 9600 may include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. It is worth noting that Fig.10 is exemplary; other types of structures may also be used to supplement or replace this structure to implement telecommunication functions or other functions.

[0212] In one embodiment, the function of the radiation information extraction method based on subatomic characteristics 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: determining a specific scope of the survey area, performing a remote sensing satellite data acquisition operation according to the specific scope, setting a scale, setting a shooting angle, setting a time period, and setting a band, and determining a corresponding remote sensing satellite image of the survey area;

[0214] Step S102: performing a preprocessing operation on the remote sensing satellite image of the survey area to determine a corresponding preprocessed remote sensing satellite image, performing an image fusion operation on the preprocessed remote sensing satellite image according to a preset image fusion algorithm to determine a corresponding fused remote sensing satellite image, performing a correction operation on the fused remote sensing satellite image according to preset shooting parameters to determine a corresponding target material remote sensing satellite image;

[0215] Step S103: developing and drying the remote sensing satellite image of the target substance, determining the corresponding target substance exposure image negative, printing the target substance exposure image negative, filtering the negative image obtained after the printing operation according to a preset optical filter, determining the corresponding abnormality of the substance to be tested, receiving the abnormality of the substance to be tested according to a preset information carrier, radiating the information carrier after the receiving operation according to the set subatomic field generator and ultraviolet radiation source, determining the corresponding abnormal radiation image of the substance to be tested, and determining the corresponding radiation information of the substance to be tested according to the abnormal radiation image of the substance to be tested.

[0216] From the above description, it can be seen that the electronic device provided in the embodiment of the present application determines the remote sensing satellite image of the survey area, performs preprocessing operations on the remote sensing satellite image of the survey area, determines the corresponding remote sensing satellite image of the target material, performs developing and drying operations on the remote sensing satellite image of the target material, determines the corresponding target material exposure image film, performs filtering operations on the film image after the printing operation according to a preset optical filter, determines the corresponding abnormality of the substance to be tested, performs a receiving operation on the abnormality of the substance to be tested according to a preset information carrier, performs a radiation operation on the information carrier after the receiving operation according to the set subatomic field generator and the ultraviolet radiation source, determines the corresponding radiation abnormality image of the substance to be tested, and determines the corresponding radiation information of the substance to be tested according to the radiation abnormality image of the substance to be tested, thereby improving 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 Fig.10 As shown, the electronic device 9600 may also 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 have to include Fig.10 In addition, the electronic device 9600 may also include Fig.10 For components not shown, reference may be made to the prior art.

[0219] like Fig.10 As shown, the central processing unit 9100 is sometimes also referred to as a controller or an operation control, and may include a microprocessor or other processor device and / or logic device. The central processing unit 9100 receives input 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, a flash memory, a hard drive, a removable medium, a volatile memory, a non-volatile memory or other suitable devices. The above-mentioned information related to the failure may be stored, and a program for executing the relevant information may also be stored. The CPU 9100 may execute the program stored in the memory 9140 to implement information storage or processing, etc.

[0221] The input unit 9120 provides input to the central processing unit 9100. The input unit 9120 is, for example, a key or a touch input device. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used to display display objects such as images and texts. The display may be, for example, an LCD display, but is not limited thereto.

[0222] The memory 9140 may be a solid-state memory, such as a read-only memory (ROM), a random access memory (RAM), a SIM card, etc. It may also be a memory that saves information even when the power is off, can be selectively erased, and is provided with more data, examples of which are sometimes referred to as EPROMs, etc. The memory 9140 may 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, which is used to store application programs and function programs or processes for executing the operation of the electronic device 9600 through the central processor 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 communication functions of the electronic device and / or for executing 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 processor 9100 to provide input signals and receive output signals, which may be the same as the case of a conventional mobile communication terminal.

[0225] Based on different communication technologies, multiple communication modules 9110 may be provided in the same electronic device, such as a cellular network module, a Bluetooth module and / or a wireless local area network module, etc. The communication module 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide an audio output via the speaker 9131 and receive an audio input from the microphone 9132, thereby realizing a common telecommunication function. The audio processor 9130 may include any suitable buffer, decoder, amplifier, etc. In addition, the audio processor 9130 is also coupled to the central processor 9100, so that recording can be performed on the machine through the microphone 9132, and the sound stored on the machine can be played through the speaker 9131.

[0226] The embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps of the radiation information extraction method based on subatomic characteristics in the above-mentioned embodiments, where the execution subject is a server or a client. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, all the steps of the radiation information extraction method based on subatomic characteristics in the above-mentioned embodiments are implemented. For example, when the processor executes the computer program, the following steps are implemented:

[0227] Step S101: determining a specific scope of the survey area, performing a remote sensing satellite data acquisition operation according to the specific scope, setting a scale, setting a shooting angle, setting a time period, and setting a band, and determining a corresponding remote sensing satellite image of the survey area;

[0228] Step S102: performing a preprocessing operation on the remote sensing satellite image of the survey area to determine a corresponding preprocessed remote sensing satellite image, performing an image fusion operation on the preprocessed remote sensing satellite image according to a preset image fusion algorithm to determine a corresponding fused remote sensing satellite image, performing a correction operation on the fused remote sensing satellite image according to preset shooting parameters to determine a corresponding target material remote sensing satellite image;

[0229] Step S103: developing and drying the remote sensing satellite image of the target substance, determining the corresponding target substance exposure image negative, printing the target substance exposure image negative, filtering the negative image obtained after the printing operation according to a preset optical filter, determining the corresponding abnormality of the substance to be tested, receiving the abnormality of the substance to be tested according to a preset information carrier, radiating the information carrier after the receiving operation according to the set subatomic field generator and ultraviolet radiation source, determining the corresponding abnormal radiation image of the substance to be tested, and determining the corresponding radiation information of the substance to be tested according to the abnormal radiation image of the substance to be tested.

[0230] From the above description, it can be seen that the computer-readable storage medium provided in the embodiment of the present application determines the remote sensing satellite image of the survey area, performs a preprocessing operation on the remote sensing satellite image of the survey area, determines the corresponding remote sensing satellite image of the target material, performs a developing and drying operation on the remote sensing satellite image of the target material, determines the corresponding target material exposure image negative, performs a filtering operation on the negative film image after the printing operation according to a preset optical filter, determines the corresponding abnormality of the substance to be tested, performs a receiving operation on the abnormality of the substance to be tested according to a preset information carrier, performs a radiation operation on the information carrier after the receiving operation according to the set subatomic field generator and the ultraviolet radiation source, determines the corresponding radiation abnormality image of the substance to be tested, and determines the corresponding radiation information of the substance to be tested according to the radiation abnormality image of the substance to be tested, thereby improving the efficiency and accuracy of radiation information extraction.

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

[0232] Step S101: determining a specific scope of the survey area, performing a remote sensing satellite data acquisition operation according to the specific scope, setting a scale, setting a shooting angle, setting a time period, and setting a band, and determining a corresponding remote sensing satellite image of the survey area;

[0233] Step S102: performing a preprocessing operation on the remote sensing satellite image of the survey area to determine a corresponding preprocessed remote sensing satellite image, performing an image fusion operation on the preprocessed remote sensing satellite image according to a preset image fusion algorithm to determine a corresponding fused remote sensing satellite image, performing a correction operation on the fused remote sensing satellite image according to preset shooting parameters to determine a corresponding target material remote sensing satellite image;

[0234] Step S103: developing and drying the remote sensing satellite image of the target substance, determining the corresponding target substance exposure image negative, printing the target substance exposure image negative, filtering the negative image obtained after the printing operation according to a preset optical filter, determining the corresponding abnormality of the substance to be tested, receiving the abnormality of the substance to be tested according to a preset information carrier, radiating the information carrier after the receiving operation according to the set subatomic field generator and ultraviolet radiation source, determining the corresponding abnormal radiation image of the substance to be tested, and determining the corresponding radiation information of the substance to be tested according to the abnormal radiation image of the substance to be tested.

[0235] From the above description, it can be seen that the computer program product provided in the embodiment of the present application determines the remote sensing satellite image of the survey area, performs preprocessing operations on the remote sensing satellite image of the survey area, determines the corresponding remote sensing satellite image of the target material, performs developing and drying operations on the remote sensing satellite image of the target material, determines the corresponding target material exposure image film, performs filtering operations on the film image after the printing operation according to a preset optical filter, determines the corresponding abnormality of the substance to be tested, performs a receiving operation on the abnormality of the substance to be tested according to a preset information carrier, performs a radiation operation on the information carrier after the receiving operation according to the set subatomic field generator and the ultraviolet radiation source, determines the corresponding radiation abnormality image of the substance to be tested, and determines the corresponding radiation information of the substance to be tested according to the radiation abnormality image of the substance to be tested, thereby improving the efficiency and accuracy of radiation information extraction.

[0236] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented 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] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (apparatus), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0238] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0239] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0240] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A radiation information extraction method based on subatomic properties, characterized in that: The method comprises: Determine the specific scope of the survey area, perform remote sensing satellite data acquisition operations according to the specific scope, set scale, set shooting angle, set time period and set band, and determine the corresponding remote sensing satellite image of the survey area; Performing a preprocessing operation on the remote sensing satellite image of the survey area to determine a corresponding preprocessed remote sensing satellite image, performing an image fusion operation on the preprocessed remote sensing satellite image according to a preset image fusion algorithm to determine a corresponding fused remote sensing satellite image, and performing a correction operation on the fused remote sensing satellite image according to preset shooting parameters to determine a corresponding remote sensing satellite image of the target material; Perform a developing and drying operation on the remote sensing satellite image of the target substance, determine the corresponding target substance exposure image negative, perform a printing operation on the target substance exposure image negative, perform a filtering operation on the negative film image obtained after the printing operation according to a preset optical filter, determine the corresponding abnormality of the substance to be tested, perform a receiving operation on the abnormality 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, determine the corresponding radiation abnormality image of the substance to be tested, and determine the corresponding radiation information of the substance to be tested according to the radiation abnormality 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 remote sensing satellite data acquisition operation is performed according to the specific range, the set scale, the set shooting angle, the set time period and the set band to determine the corresponding remote sensing satellite image of the survey area, including: Selecting a scale of the remote sensing satellite image according to the specific range to determine a corresponding set scale, wherein the set scale includes at least one of a large scale, a medium scale, and a small scale; Selecting a shooting angle of the remote sensing satellite image according to the specific range to determine a corresponding set shooting angle, wherein the selection range of the set shooting angle is 0-180°; Selecting a time period of the remote sensing satellite image according to the specific range to determine a corresponding set time period, wherein the time interval of the set time period is 30 minutes; Selecting a band of the remote sensing satellite image according to the specific range to determine a corresponding set band, wherein the set band includes at least one of radio frequency, optical, short-wave infrared, long-wave infrared and ultraviolet; The remote sensing satellite data acquisition operation is performed 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.

3. The radiation information extraction method based on subatomic properties according to claim 1 is characterized in that: The preprocessing operation of the remote sensing satellite image of the survey area to determine the corresponding preprocessed remote sensing satellite image includes: Performing noise reduction and filtering operations on the remote sensing satellite image of the survey area; A color correction operation is performed on the remote sensing satellite image of the survey area after the noise reduction operation and the filtering operation to determine a corresponding preprocessed remote sensing satellite image.

4. The radiation information extraction method based on subatomic properties according to claim 1, characterized in that: The performing an image fusion operation on the pre-processed remote sensing satellite image according to a preset image fusion algorithm to determine a corresponding fused remote sensing satellite image includes: Performing a matching operation on the pre-processed remote sensing satellite image according to a feature point matching algorithm; The pre-processed remote sensing satellite image after the matching operation is stitched according to an image stitching algorithm to determine a corresponding fused remote sensing satellite image.

5. The radiation information extraction method based on subatomic properties according to claim 1, characterized in that: The step of performing a correction operation on the fused remote sensing satellite image according to preset shooting parameters to determine a corresponding remote sensing satellite image of the target material includes: Determine corresponding shooting parameters according to the shooting environment, wherein 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 a 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 filtering the negative film image obtained after the printing operation according to the preset optical filter to determine that the corresponding substance to be tested is abnormal, the method includes: Performing a thickness selection operation on a preset material layer to be tested according to the subatomic radiation characteristics of the preset material to be tested, and determining the corresponding thickness of the material layer to be tested; The corresponding preset optical filter is determined according to the thickness of the material layer to be measured 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 according to the setting of the subatomic field generator and the ultraviolet radiation source to determine the corresponding abnormal radiation image of the substance to be tested includes: The subatomic field generator is set to perform a radiation operation on the information carrier after the receiving operation, wherein the subatomic field generator includes a first coil and a second coil, the output of the first coil is a 12V direct current, the output of the second coil is a 220V alternating current, and the first coil and the second coil are nested with each other; Performing an ultraviolet irradiation operation on the information carrier after the receiving operation according to an ultraviolet radiation source, wherein the ultraviolet radiation source is directly below the information carrier; According to the information carrier after the radiation operation and the ultraviolet irradiation operation, the corresponding abnormal radiation image of the substance to be tested is determined.

8. A radiation information extraction device based on subatomic properties, characterized in that: The device comprises: The remote sensing satellite image acquisition module is used to determine the specific scope of the survey area, perform remote sensing satellite data acquisition operations according to the specific scope, set scale, set shooting angle, set time period and set band, and determine the corresponding remote sensing satellite image of the survey area; A remote sensing satellite image processing module is used to perform a preprocessing operation on the remote sensing satellite image of the survey area, determine a corresponding preprocessed remote sensing satellite image, perform an image fusion operation on the preprocessed remote sensing satellite image according to a preset image fusion algorithm, determine a corresponding fused remote sensing satellite image, perform a correction operation on the fused remote sensing satellite image according to preset shooting parameters, and determine a corresponding target material remote sensing satellite image; The radiation information extraction module is used to perform a developing and drying operation on the remote sensing satellite image of the target substance, determine the corresponding target substance exposure image negative, print the target substance exposure image negative, filter the negative image obtained after the printing operation according to a preset optical filter, determine the corresponding abnormality of the substance to be tested, receive the abnormality of the substance to be tested according to a preset information carrier, radiate the information carrier after the receiving operation according to a set subatomic field generator and an ultraviolet radiation source, determine the corresponding abnormal radiation image of the substance to be tested, and determine the corresponding radiation information of the substance to be tested according to the abnormal radiation image of the substance to be tested.

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, the steps of the radiation information extraction method based on subatomic characteristics described in any one of claims 1 to 7 are implemented.

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

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