A magnetic target intelligent identification system and method based on perspective remote sensing technology

Abstract

The application discloses a kind of magnetic target intelligent identification system and method based on perspective remote sensing technology, comprising the following steps: using optical satellite data to extract surface change information to detect surface change in all directions, and according to magnetic target information and surface highlight abnormal information in SAR radar data, comprehensive target area is delimited;Comprehensive detection platform of unmanned plane is carried out in the target area within the comprehensive target area delimited by surveying and mapping detection, realizes integrated detection of surface and underground shallow layer magnetic target and disguised magnetic target;The application solves the problems of complex background interference, target camouflage and shielding, recognition accuracy and reliability under different weather and light conditions through cross-validation of different methods and data, realizes the integrated detection and identification of aboveground, underground shallow layer, disguised magnetic target, and provides technical support for carrying out illegal mining and other work.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of perspective remote sensing technology, in particular to a magnetic target intelligent identification system and method based on perspective remote sensing technology. BACKGROUND

[0002] Remote sensing target identification technology mainly relies on remote sensing technology, which is a new detection technology that does not directly contact the target object but remotely senses its properties and state. It uses the characteristics of electromagnetic wave radiation, reflection or emission of objects, and through infrared, SAR / ISAR, hyperspectral / multispectral, laser radar, etc. Sensor, from high altitude or long distance, feel the electromagnetic wave information from the target object, and process it into image or data through optical and electronic technology, to reveal the nature and state of the target.

[0003] Through remote sensing technology, the specific location, type, quantity and other key information of the monitoring target can be obtained, providing decision basis for relevant departments to monitor and enforce the law.

[0004] Specifically, the remote sensing target identification and monitoring mainly includes the following steps:

[0005] Data acquisition: through satellite, airplane and other remote sensing platforms, the remote sensing data of the target area is obtained. These data may include visible light, infrared, multispectral and other types of information.

[0006] Data preprocessing: the acquired remote sensing data is preprocessed, including radiation calibration, atmospheric correction, geometric correction and other steps, to eliminate noise and distortion in the data and improve data quality.

[0007] Feature extraction: the feature information related to the target is extracted from the preprocessed data. These features may include shape, size, texture, spectral characteristics, etc. Feature extraction is a key step in target identification, which directly affects the accuracy of subsequent target identification.

[0008] Target identification: based on the extracted feature information, the target is identified by using a classifier or a deep learning algorithm. This step needs to design appropriate algorithms and models to achieve accurate identification of different types of targets.

[0009] However, the current remote sensing target identification technology has the technical problems of complex background interference, target camouflage and shielding, and unstable identification under different weather and lighting conditions. SUMMARY

[0010] The purpose of the present application is to provide a magnetic target intelligent identification system and method based on perspective remote sensing technology, to solve the technical problems of complex background interference, target camouflage and shielding, and unstable identification under different weather and lighting conditions in the prior art.

[0011] To solve the above technical problems, the present application specifically provides the following technical solutions:

[0012] A magnetic target intelligent identification system based on perspective remote sensing technology, comprising:

[0013] A satellite detection system for monitoring surface change areas by optical satellites and SAR radars to demarcate a comprehensive target area containing new magnetic targets;

[0014] An unmanned aerial vehicle (UAV) cruising system integrated with hyperspectral sensors and UAV airborne magnetic sensors, which circulates in the comprehensive target area to form monitoring data;

[0015] A data processing system in communication connection with the satellite detection system and the UAV cruising system, which forms a perspective remote sensing data set based on the monitoring results, processes the perspective remote sensing data set to delineate the comprehensive target area where magnetic targets exist, and identifies the magnetic targets on the ground and in the shallow underground layer within the comprehensive target area.

[0016] As a preferred scheme of the present application, the data processing system comprises:

[0017] A partition cutting module for two-dimensional modeling of the surface change areas and identifying magnetic change areas based on surface change information of each partition of the surface change areas;

[0018] A target identification module for forming a target sample set according to the detection results of the satellite detection system, training the target sample set by a target identification model, and identifying the comprehensive target area where new magnetic targets exist from the magnetic change areas;

[0019] A magnetic target identification module, wherein the UAV cruising system reciprocally monitors the comprehensive target area to form a monitoring data set, and identifies the surface magnetic targets and shallow stratum magnetic targets of the comprehensive target area by analyzing the monitoring data set.

[0020] In addition, the present application further provides a magnetic target intelligent identification method based on perspective remote sensing technology, comprising the following steps:

[0021] Step 100: extracting surface change information by optical satellite data and SAR radars to detect surface changes of surface change areas in all directions, and demarcating a comprehensive target area based on the changes of two-dimensional coordinate points of surface highlight abnormal information according to the surface highlight abnormal information in the monitoring data of the optical satellite data and SAR radars;

[0022] Step 200: using a UAV cruising system to carry out comprehensive survey detection within the defined comprehensive target area to identify magnetic targets and disguised magnetic targets on the ground and in the shallow underground layer.

[0023] As a preferred scheme of the present application, in the step 100, the implementation step of delineating the comprehensive target area is:

[0024] Step 101, using the position information of the optical satellite to cut the surface change area, determine the two-dimensional coordinate range corresponding to each cutting partition, based on the optical satellite data of each cutting partition and the surface change information appeared compared with its corresponding historical moment, and determine the target target area where the magnetic change area is located;

[0025] Step 102, using SAR radar to detect the target target area in turn, based on the position information of each SAR radar, the target target area is divided into different analysis areas, and the target reflectivity of each analysis area is determined;

[0026] Step 103, screening out the area with high strong reflection abnormal information from the SAR radar data of the analysis area, determining the two-dimensional coordinate range corresponding to the area with high strong reflection abnormal information, comparing the current area with high strong reflection abnormal information with the historical area with high strong reflection abnormal information, and taking the area corresponding to the two-dimensional coordinate range of the newly added high strong reflection abnormal information as the comprehensive target area.

[0027] As a preferred scheme of the present application, in the step 101, the specific implementation method of identifying the target target area where the magnetic change area is located is:

[0028] Pre-training target recognition model: using the detection data of optical satellite to form historical optical remote sensing image, obtaining historical magnetic target data image from the historical optical remote sensing image, and taking the historical magnetic target data image as historical magnetic target sample set, using Faster-R-CNN algorithm to train the historical magnetic target sample set to identify the newly generated magnetic target of each historical magnetic target sample set, and obtaining the final Faster-R-CNN model as the target recognition model;

[0029] Real-time recognition of target target area using target recognition model: using the trained Faster-R-CNN model to detect the optical remote sensing image set obtained by the optical satellite in real time, outputting the corresponding magnetic target of each optical remote sensing image set, to determine the detection result of the newly added magnetic target, and based on the detection result of the newly added magnetic target, the target target area is circled from the surface change area.

[0030] As a preferred scheme of the present application, in the step 103, the SAR radar detects the magnetic target of the target target area, and marks the two-dimensional coordinate point corresponding to the analysis area with high strong reflection abnormal information;

[0031] The two-dimensional coordinate point corresponding to each high-intensity reflection anomaly information is compared with the two-dimensional coordinate point corresponding to the historical high-intensity reflection anomaly information in the analysis area, and the newly added two-dimensional coordinate point and the high-intensity reflection anomaly information corresponding to the two-dimensional coordinate point are integrated into the comprehensive target area.

[0032] The two-dimensional coordinate point corresponding to each high-intensity reflection anomaly information in the analysis area is compared with the reflection data of the historical high-intensity reflection anomaly information of the two-dimensional coordinate point, and the two-dimensional coordinate point obviously stronger than the historical high-intensity reflection anomaly information is integrated into the comprehensive target area.

[0033] As a preferred scheme of the present application, in the step 200, the implementation method for identifying the magnetic targets on the ground and shallow underground and the disguised magnetic targets in the comprehensive target area by using the unmanned aerial vehicle cruising system is as follows:

[0034] The comprehensive survey detection in the target area is carried out on the comprehensive target area by using the unmanned aerial vehicle cruising system, the hyperspectral data and the aeromagnetic data of the comprehensive target area are acquired, the hyperspectral data and the aeromagnetic data are cross-screened and judged respectively, so as to acquire the magnetic targets on the ground and shallow underground in the comprehensive target area, and the disguised magnetic targets in the comprehensive target area.

[0035] The aeromagnetic data in the comprehensive target area are processed, high-intensity aeromagnetic anomaly information is acquired, is calibrated as a suspected magnetic target, and the two-dimensional coordinate point corresponding to each suspected magnetic target is determined.

[0036] The surface information of the hyperspectral data in the comprehensive target area is classified based on the spectral recognition technology, the material information of different surface objects is identified, and the magnetic targets and the disguised magnetic targets in the comprehensive target area are determined based on the material information, and the two-dimensional coordinate point of the magnetic target is determined.

[0037] The two-dimensional coordinate point corresponding to the suspected magnetic target identified based on the aeromagnetic data is matched with the two-dimensional coordinate point of the magnetic target identified based on the spectral recognition technology, and the magnetic targets with completely matched coordinate values form a magnetic target set.

[0038] As a preferred scheme of the present application, before the aeromagnetic data in the comprehensive target area are processed, the aeromagnetic data are corrected according to the magnetic diurnal variation of the aeromagnetic data in the comprehensive target area, so as to eliminate the interference of the solar diurnal magnetic field change on the aeromagnetic measurement data.

[0039] As a preferred scheme of the present application, the implementation method for correcting the aeromagnetic data according to the magnetic diurnal variation of the aeromagnetic data in the comprehensive target area is as follows:

[0040] The diurnal variation data are acquired, and the diurnal variation data are obtained by observing the geomagnetic station or the submarine geomagnetic diurnal variation observation station.

[0041] The magnetic diurnal variation correction value is calculated according to the obtained diurnal variation data, and the magnetic diurnal variation correction value is used to describe the change of the geomagnetic field with time.

[0042] The magnetic diurnal variation correction value is calculated according to the obtained diurnal variation data, and the magnetic diurnal variation correction value is used to describe the change of the geomagnetic field with time.

[0043] Compared with the prior art, the present application has the following beneficial effects:

[0044] The present application builds an unmanned aerial vehicle comprehensive detection system platform based on perspective remote sensing technology, uses multiple detection methods to comprehensively analyze multiple remote sensing data, and identifies the magnetic targets in the comprehensive target area, so as to solve the problems of recognition accuracy and reliability under complex background interference, target camouflage and shielding, different weather and light conditions, and realize integrated identification of magnetic targets on the ground and in the shallow underground and camouflaged magnetic targets. BRIEF DESCRIPTION OF DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only exemplary, and for those skilled in the art, other drawings can be obtained from the provided drawings without creative labor.

[0046] Figure 1 The flowchart of the magnetic target intelligent identification method provided by the embodiment of the present application. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0048] As shown in Figure 1 The present application provides a magnetic target intelligent identification system based on perspective remote sensing technology, comprising:

[0049] The satellite detection system is used for monitoring the surface change area by optical satellite and SAR radar to demarcate the comprehensive target area containing new magnetic targets;

[0050] The unmanned aerial vehicle cruising system is integrated with a hyperspectral sensor and an unmanned aerial vehicle magnetic sensor, circulates in the comprehensive target area, and forms monitoring data;

[0051] The data processing system is in communication connection with the satellite detection system and the unmanned aerial vehicle cruising system, forms a perspective remote sensing data set based on the monitoring result, and delimits the comprehensive target area where the magnetic target exists and identifies the magnetic target in the ground and the shallow underground layer in the comprehensive target area by processing the perspective remote sensing data set.

[0052] The data processing system comprises:

[0053] The partition cutting module is used for two-dimensional modeling of the ground surface change area and identifying the magnetic change area based on the ground surface change information of each partition of the ground surface change area;

[0054] The target identification module forms a target sample set according to the detection result of the satellite detection system, trains the target sample set by using a target identification model, and identifies the comprehensive target area where the newly added magnetic target is located from the magnetic change area;

[0055] The magnetic target identification module circulates in the comprehensive target area by the unmanned aerial vehicle cruising system, forms a monitoring data set, and identifies the ground surface magnetic target and the shallow stratum magnetic target in the comprehensive target area by analyzing the monitoring data set.

[0056] The embodiment utilizes a series of remote sensing and geophysical prospecting sensor devices integrated with the unmanned aerial vehicle / satellite to form an unmanned aerial vehicle / satellite comprehensive detection platform, the sensors include a high-resolution optical satellite, a SAR radar, a hyperspectral sensor and an unmanned aerial vehicle magnetic sensor, and the high-precision measurement data obtained by the platform provides data support for effectively identifying and distinguishing in a complex environment.

[0057] Specifically, the optical satellite data is used to detect the ground surface change in all directions, and the change area detected by the ground surface change information is a large range area, and the ground surface change area caused by human activities is found and obtained. The target identification model is used for further fine analysis of the ground surface change area caused by human activities to identify the newly added magnetic target in the area where the ground surface change caused by human activities is located, delimit the comprehensive target area with the newly added magnetic target, the newly added magnetic target in the embodiment is a large mechanical equipment with magnetic metal material, thereby providing technical support for carrying out illegal mining of mines and the like, wherein the range of the ground surface change is greater than the range corresponding to the delimited comprehensive target area.

[0058] Then the unmanned aerial vehicle detection system is used for magnetic target identification in the comprehensive target area. Since the unmanned aerial vehicle detection system is relatively close to the comprehensive target area, the specific position of the magnetic target can be determined based on the identified object material information, and the disguised magnetic target can be identified, thereby providing help for guiding the specific position of the large machinery with magnetic metal material.

[0059] In the satellite detection system, the multispectral data mainly obtains high-resolution visible light data by optical satellite, and is used for directly identifying the target object. In the embodiment, the visible light data corresponding to the magnetic target is specifically determined, so as to determine whether the magnetic target exists based on the high-resolution visible light data obtained by the optical satellite.

[0060] The SAR radar data of the satellite detection system mainly obtains high-resolution SAR data by SAR radar, and is used for quickly extracting the suspected magnetic target.

[0061] The hyperspectral data of the unmanned aerial vehicle detection system mainly obtains high-resolution hyperspectral data by a hyperspectral sensor, and is used for identifying different ground object material information to identify the magnetic target.

[0062] The aeromagnetic data of the unmanned aerial vehicle detection system obtains the aeromagnetic data by an aeromagnetic sensor, obtains the ground magnetic anomaly, detects the magnetic target in the shallow underground layer, and identifies the disguised magnetic target.

[0063] The embodiment builds the unmanned aerial vehicle comprehensive detection system platform based on the perspective remote sensing technology, realizes integrated detection of the ground, shallow underground layer and disguised magnetic target, realizes rapid detection and identification of the ground and shallow underground layer magnetic target, improves the identification accuracy and reliability, reduces the remote sensing satellite data information extraction operation, and improves the magnetic target detection efficiency.

[0064] In addition, based on the above-mentioned magnetic target intelligent identification system based on the perspective remote sensing technology, the application also provides a magnetic target intelligent identification method based on the perspective remote sensing technology, which comprises the following steps:

[0065] In step 100, the ground change information is extracted by using the optical satellite data and the SAR radar to detect the ground change of the ground change area in all directions, and the comprehensive target area is demarcated based on the change of the two-dimensional coordinate points of the ground highlight abnormal information in the monitoring data of the optical satellite data and the SAR radar.

[0066] In step 100, the implementation steps of demarcating the comprehensive target area are as follows:

[0067] Step 101, using the position information of the optical satellite to cut the surface change area, determine the two-dimensional coordinate range of each cutting partition, based on the optical satellite data of each cutting partition and the surface change information appeared compared with its corresponding historical moment, and determine the target area where the magnetic change area is located.

[0068] In step 101, the specific implementation method of identifying the target area where the magnetic change area is located is:

[0069] Pre-training target recognition model: using the detection data of optical satellite to form historical optical remote sensing image, obtaining historical magnetic target data image (excavator, transport vehicle, etc.) from historical optical remote sensing image, wherein the historical magnetic target data image in the historical optical remote sensing image is constantly increasing or decreasing;

[0070] The historical magnetic target data image is used as a historical magnetic target sample set, and the Faster-R-CNN algorithm is used to train the historical magnetic target sample set to identify the newly generated magnetic target or the reduced magnetic target of each historical magnetic target sample set. The main point is that the trained Faster-R-CNN model can identify the newly generated magnetic target in the same detection area, so that the trained Faster-R-CNN model can identify the corresponding new excavator and transport vehicle when mining illegally, and the obtained final Faster-R-CNN model is used as the target recognition model.

[0071] Real-time identification of target area using target recognition model: using the trained Faster-R-CNN model to detect the optical remote sensing image set obtained by the optical satellite in real time, outputting the corresponding magnetic target of each optical remote sensing image set, to determine the detection result of the newly added magnetic target, and based on the detection result of the newly added magnetic target, the target area is circled from the surface change area.

[0072] Step 102, using SAR radar to detect the target area in turn, based on the position information of each SAR radar, the target area is divided into different analysis areas, and the target reflectivity of each analysis area is determined.

[0073] It should be noted that the reflectivity of SAR radar measurement target is related to the physical properties of the target, such as the material, surface roughness and shape of the target. By analyzing the reflectivity of the target, the composition and material information of the target can be inferred. Radar is used to measure the high reflectivity of metal objects.

[0074] Step 103, screening out the area with high strong reflection abnormal information from the SAR radar data of the analysis area, determining the two-dimensional coordinate range corresponding to the area with high strong reflection abnormal information, comparing the current area with high strong reflection abnormal information with the historical area with high strong reflection abnormal information, and taking the area corresponding to the two-dimensional coordinate range corresponding to the new high strong reflection abnormal information as the comprehensive target area.

[0075] In step 103, the SAR radar performs magnetic target detection on the target area, and marks the two-dimensional coordinate points corresponding to the high strong reflection abnormal information in each analysis area.

[0076] The two-dimensional coordinate points corresponding to the high strong reflection abnormal information in each analysis area are compared with the two-dimensional coordinate points corresponding to the historical high strong reflection abnormal information in the analysis area, and the new two-dimensional coordinate points and the high strong reflection abnormal information corresponding to the two-dimensional coordinate points are integrated into the comprehensive target area.

[0077] The two-dimensional coordinate points corresponding to the high strong reflection abnormal information in each analysis area are compared with the reflection data of the historical high strong reflection abnormal information of the two-dimensional coordinate points, and the two-dimensional coordinate points obviously stronger than the historical high strong reflection abnormal information are integrated into the comprehensive target area.

[0078] Therefore, through the above processing mode, the two-dimensional coordinate points corresponding to the new magnetic target and the two-dimensional coordinate points corresponding to the obvious magnetic change of the old magnetic target point can be identified from the surface change area, and the two-dimensional coordinate points corresponding to the two types of changes are integrated into the comprehensive target area, so that the comprehensive target area where the magnetic target with magnetic change exists can be accurately identified, and the unmanned aerial vehicle cruising system is used to carry out secondary comprehensive measurement on the comprehensive target area, and the magnetic target and the disguised magnetic target on the surface and the shallow underground of the comprehensive target area are identified, so that the comprehensive target area with new magnetic target and the two-dimensional coordinate points corresponding to each new magnetic target in the comprehensive target area can be effectively identified by combining the above magnetic target identification methods.

[0079] Step 200, using the unmanned aerial vehicle cruising system to carry out target area comprehensive measurement detection in the defined comprehensive target area, and identifying the magnetic target and the disguised magnetic target on the surface and the shallow underground.

[0080] In step 200, the realization method of identifying the magnetic target and the disguised magnetic target on the surface and the shallow underground in the comprehensive target area by using the unmanned aerial vehicle cruising system is as follows:

[0081] The unmanned aerial vehicle cruise system is used for in-target comprehensive survey detection of the comprehensive target area, high spectrum data and aeromagnetic data of the comprehensive target area are obtained, and the high spectrum data and the aeromagnetic data are cross-screened and judged respectively to obtain the magnetic targets on the ground and shallow underground of the comprehensive target area and the disguised magnetic targets in the comprehensive target area.

[0082] The aeromagnetic data in the comprehensive target area are processed to obtain high-intensity aeromagnetic anomaly information, and each suspected magnetic target is calibrated and a two-dimensional coordinate point corresponding to each suspected magnetic target is determined.

[0083] The high spectrum data in the comprehensive target area are classified based on spectrum recognition technology to identify the material information of different ground objects, and the magnetic targets and the disguised magnetic targets in the comprehensive target area are determined based on the material information, and the two-dimensional coordinate points of the magnetic targets are determined.

[0084] The ground object classification of high-precision unmanned aerial vehicle high spectrum data is carried out, the ground information is classified based on high spectrum remote sensing image and spectrum recognition technology, and the target disguise material information is extracted based on the spectrum characteristics of different materials in the wavelength range of 350-2500 nm, thereby providing support for target detection and disguise identification.

[0085] The two-dimensional coordinate points corresponding to the suspected magnetic targets identified based on the aeromagnetic data are matched with the two-dimensional coordinate points of the magnetic targets identified based on the spectrum recognition technology, and the magnetic targets with completely matched coordinate values form a magnetic target set.

[0086] Before processing the aeromagnetic data in the comprehensive target area, the aeromagnetic data is corrected according to the magnetic diurnal variation of the aeromagnetic data in the comprehensive target area to eliminate the interference of the solar diurnal magnetic field change on the aeromagnetic measurement data.

[0087] The implementation method of correcting the aeromagnetic data according to the magnetic diurnal variation of the aeromagnetic data in the comprehensive target area is as follows:

[0088] The diurnal variation data is obtained by observing the diurnal variation data through a geomagnetic station or a seabed geomagnetic diurnal variation observation station.

[0089] The magnetic diurnal variation correction value is calculated, the corresponding magnetic diurnal variation correction value is calculated according to the obtained diurnal variation data, and the magnetic diurnal variation correction value is the fluctuation amount in one day, which is used to describe the change of the geomagnetic field with time.

[0090] The aeromagnetic data is corrected point by point, the calculated magnetic diurnal variation correction value is applied to the aeromagnetic measurement data, and each measurement point is corrected point by point to eliminate the influence of the magnetic diurnal variation on the aeromagnetic data.

[0091] In summary, the specific implementation method of effectively identifying magnetic targets from a complex environment in the embodiment is as follows:

[0092] (1) first from a large area range, the key work area is the surface change area;

[0093] (2) through the target recognition model from the surface change area of high resolution optical satellite data to identify the target area with magnetic target;

[0094] (3) extract the high intensity reflection anomaly information in SAR satellite data, further limit the range of target area, form the comprehensive target area containing new magnetic target or original old magnetic target with obvious magnetic change;

[0095] (4) using unmanned aerial vehicle cruise system to comprehensive target area for comprehensive survey detection, obtain the hyperspectral data and aeromagnetic data of the comprehensive target area;

[0096] (5) obtain the high intensity aeromagnetic anomaly information of the comprehensive target area, mark as suspected magnetic target, based on the hyperspectral remote sensing image of the comprehensive target area and spectral recognition technology, based on the material information of the material, classify the surface information, extract the magnetic target and magnetic target of the comprehensive target area;

[0097] (6) the two-dimensional coordinate points corresponding to the suspected magnetic target identified in the above (5) based on the aeromagnetic data are matched with the two-dimensional coordinate points of the magnetic target identified based on the spectral recognition technology, and the magnetic target with completely matched coordinate values is formed into a magnetic target set.

[0098] The present application is based on perspective remote sensing technology, integrates multispectral, hyperspectral, electromagnetic and other detection loads on satellite and unmanned aerial vehicle airborne platform, forms a comprehensive detection platform of space and sky integration, obtains perspective remote sensing data set, combines various detection methods to carry out identification and detection of magnetic body target, solves the problems of identification accuracy and reliability under complex background interference, target camouflage and shielding, different weather and light conditions, realizes integrated detection and anti-counterfeiting of ground, underground shallow and camouflaged magnetic body target, and provides technical support for carrying out illegal mining and other work.

[0099] The above examples are only exemplary embodiments of the present application and are not used to limit the present application, the protection scope of the present application is defined by the claims. Those skilled in the art can make various modifications or equivalent replacements to the present application within the spirit and protection scope of the present application, and such modifications or equivalent replacements are also regarded as falling within the protection scope of the present application.

Claims

1. A magnetic target intelligent recognition method based on perspective remote sensing technology, characterized in that: The following steps are involved: Step 100: Utilizing optical satellite data and SAR radar to extract surface change information to comprehensively detect surface changes in a surface change area, and delineating a comprehensive target area based on changes in two-dimensional coordinate points of surface highlight anomaly information in the monitoring data of the optical satellite data and SAR radar; Step 200: Use the UAV cruise system to conduct comprehensive detection within the defined comprehensive target area to identify magnetic targets and camouflaged magnetic targets on the surface and in shallow underground layers. In step 100, the steps for delineating the comprehensive target area are as follows: Step 101: Use the position information corresponding to the optical satellite to partition the surface change area, determine the two-dimensional coordinate range corresponding to each partition, and based on the surface change information that occurs in each partition compared with the optical satellite data of the corresponding historical moment, determine the target area where the magnetic change area occurs; Step 102: sequentially detecting the target area using a SAR radar, dividing the target area into different analysis areas based on position information corresponding to each SAR radar, and determining the target reflectivity corresponding to each analysis area; Step 103: Filter out areas with high-intensity reflection anomaly information from the SAR radar data of the analysis area, determine the two-dimensional coordinate range corresponding to the areas with high-intensity reflection anomaly information, compare the current areas with high-intensity reflection anomaly information with historical areas with high-intensity reflection anomaly information, and use the area corresponding to the two-dimensional coordinate range corresponding to the newly added areas with high-intensity reflection anomaly information as the comprehensive target area.

2. The method for intelligently identifying magnetic targets based on perspective remote sensing technology according to claim 1, characterized in that: In step 101, the specific implementation method of identifying the target area where the magnetic change area is located is: Pre-trained target recognition model: Utilizes optical satellite detection data to form historical optical remote sensing images, obtains historical magnetic target data images from the historical optical remote sensing images, and uses the historical magnetic target data images as a historical magnetic target sample set. The Faster-R-CNN algorithm is used to train the historical magnetic target sample set to identify each newly generated magnetic target in the historical magnetic target sample set, and the final Faster-R-CNN model is obtained as the target recognition model; Use the target recognition model to identify the target area in real time: Use the trained Faster-R-CNN model to detect the optical remote sensing image set acquired by the optical satellite in real time, output the magnetic target corresponding to each optical remote sensing image set, determine the detection results of the newly added magnetic targets, and then delineate the target area from the surface change area based on the detection results of the newly added magnetic targets.

3. The method for intelligently identifying magnetic targets based on perspective remote sensing technology according to claim 2, characterized in that: In step 103, the SAR radar performs magnetic target detection on the target area and marks the two-dimensional coordinate points corresponding to high-intensity reflection anomaly information in each analysis area; Compare the two-dimensional coordinate points corresponding to each high-intensity reflection anomaly information with the two-dimensional coordinate points corresponding to the historical high-intensity reflection anomaly information in the analysis area, and integrate the newly added two-dimensional coordinate points and the high-intensity reflection anomaly information corresponding to the two-dimensional coordinate points into the comprehensive target area; The two-dimensional coordinate points with high-intensity reflection anomaly information in each analysis area are compared with the reflection data of the historical high-intensity reflection anomaly information of the two-dimensional coordinate points, and the two-dimensional coordinate points that are significantly stronger than the historical high-intensity reflection anomaly information are integrated into the comprehensive target area.

4. The method for intelligently identifying magnetic targets based on perspective remote sensing technology according to claim 3, characterized in that: In step 200, the method for identifying the surface and shallow underground magnetic targets and camouflaged magnetic targets in the comprehensive target area using the drone cruise system is as follows: Utilize the UAV cruise system to conduct comprehensive detection within the comprehensive target area, obtain hyperspectral data and aeromagnetic data of the comprehensive target area, and perform cross-screening and judgment on the hyperspectral data and aeromagnetic data to obtain magnetic targets on the surface and shallow underground layers within the comprehensive target area, as well as camouflaged magnetic targets within the comprehensive target area; Processing the aeromagnetic data within the comprehensive target area to obtain high-intensity aeromagnetic anomaly information, marking them as suspected magnetic targets, and determining the two-dimensional coordinate point corresponding to each suspected magnetic target; Based on the spectral recognition technology, the hyperspectral data in the comprehensive target area is classified into surface information, the material information of different surface objects is identified, and the magnetic targets and camouflaged magnetic targets in the comprehensive target area are determined based on the material information, and the two-dimensional coordinate points of the magnetic targets are determined; The two-dimensional coordinate points corresponding to the suspected magnetic targets identified based on the aeromagnetic data are matched with the two-dimensional coordinate points of the magnetic targets identified based on the spectral recognition technology, and the magnetic targets with completely matched coordinate values ​​form a magnetic target set.

5. The method for intelligently identifying magnetic targets based on perspective remote sensing technology according to claim 4, characterized in that: Before processing the aeromagnetic data in the comprehensive target area, the aeromagnetic data is corrected according to the diurnal magnetic variation of the aeromagnetic data in the comprehensive target area to eliminate the interference of the solar diurnal magnetic field variation on the aeromagnetic measurement data.

6. The method for intelligently identifying magnetic targets based on perspective remote sensing technology according to claim 5, characterized in that: The method for correcting the aeromagnetic data according to the diurnal magnetic variation of the aeromagnetic data in the comprehensive target area is as follows: Obtain diurnal variation data, which is obtained through observations at geomagnetic stations or seabed geomagnetic diurnal variation observation stations; Calculate the diurnal magnetic variation correction value. According to the acquired diurnal variation data, calculate the corresponding diurnal magnetic variation correction value. The diurnal magnetic variation correction value is a fluctuation amount with a daily cycle, which is used to describe the change of the Earth's magnetic field over time. The aeromagnetic data are corrected point by point. The calculated diurnal magnetic variation correction value is applied to the aeromagnetic measurement data. Each measurement point is corrected point by point to eliminate the influence of diurnal magnetic variation on the aeromagnetic data.

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