CN114445394A - Method and system for detecting surface change - Google Patents

Abstract

The application relates to the field of earth surface detection, in particular to an earth surface change detection method and system, wherein the method comprises the following steps: acquiring remote sensing images in different periods through a remote sensing satellite; preprocessing the remote sensing image; registering the processed remote sensing image based on the service data; comparing the remote sensing images at different times and extracting a changed target area; acquiring vector data and a change vector type of a geographic base map, matching the vector data and the change vector type with a target area, and generating a first change result; the earth surface engineering construction conditions are shot through the cameras in different time periods, and a second change result is generated; and generating a surface change result based on the first change result and the second change result. According to the method and the device, the earth surface images shot by the remote sensing satellite and the camera are compared with the images at different times to detect whether the earth surface changes, the burden of manual inspection is reduced, and the detection efficiency is improved.

Description

A method and system for detecting surface changes

technical field

The present application relates to the field of surface detection, and in particular, to a method and system for detecting surface changes.

Background technique

my country is the most populous country in the world, and the national conditions of the large population have determined the long-term implementation of the priority development strategy of public transportation. In order to reduce the pressure of public transportation in our country, the development of the subway is imperative. Because the subway is built underground, the geological conditions are complicated. In the past, unannounced stacking incidents often occur above suburban tunnels, which may lead to cracks in subway tunnels and bring major safety hazards to the safe operation of subway tunnels.

In the related art, the inspection of the surface changes along the subway is currently mainly based on manual inspection. Through manual inspection along the subway surface, the changes on the subway surface are reported and processed in time to ensure the safe operation of the subway.

In view of the above-mentioned related technologies, the inventor believes that the manual inspection of the ground along the subway line has the problems of large workload, large investment and low efficiency. .

SUMMARY OF THE INVENTION

In order to reduce the burden of manual inspection and at the same time improve the monitoring efficiency, the present application provides a method and system for surface monitoring along a subway line.

A kind of surface monitoring method and system provided by this application adopts the following technical scheme:

A surface change monitoring method, comprising obtaining remote sensing images in different periods through remote sensing satellites;

preprocessing the remote sensing image;

registering the processed remote sensing images based on business data;

Compare remote sensing images at different times and extract changed target areas;

Obtain the geographic basemap vector data and change vector type, match the target area, and generate the first change result;

Comparing the construction situation of the surface engineering through the camera in different time periods, and generating the second change result;

Based on the first change result and the second change result, a surface change result is generated.

By adopting the above technical solutions, after obtaining images of the surface along the subway line at different times through remote sensing satellites, the obtained images are preprocessed, the processed images are registered with the business data, the monitoring range is determined, and then the monitoring range is determined. Compare the images of different time periods, extract the changed area, and then match the changed area with the geographic basemap vector data and change vector type to determine the specific location of the surface change and the type of change, and generate The first change result, and then combined with the engineering situation captured by the surface camera, the second change result is obtained, and the first change result and the second change result are combined to jointly judge the change of the ground surface. The images captured by some of the cameras installed along the line are processed and compared to determine the changes and locations of the changes on the surface along the line, which eliminates the need for manual inspection of the surface and improves the detection efficiency.

Optionally, preprocessing the remote sensing image includes:

Obtain raw images captured by remote sensing satellites;

The original image is subjected to radiometric calibration, atmospheric correction, orthophoto correction, and image fusion.

By adopting the above technical solutions, the photos taken by remote sensing satellites are affected by various factors, and are not very clear. The original images taken are radiometrically positioned, and the gray value of the affected medium brightness is converted into absolute radiometric brightness. Only two images can be obtained. For comparison, atmospheric correction is performed to accurately obtain the spectral properties of the surface of the object, eliminating the information of the atmosphere and the sun, and orthorectification is performed to eliminate the extrusion of the image relative to the actual position of the ground target caused by the altitude of the remote sensing satellite and the rotation of the earth, etc. Distortion, stretching and offset, image fusion In order to obtain more accurate image data, the original image is processed, so that the original image can be compared and the error brought by the shooting of the image can be eliminated, so that the result is more accurate.

Optionally, performing registration on the processed remote sensing image based on business data includes:

Based on business data, set the target detection range;

Match the remote sensing image with the detection range to confirm the target area of the remote sensing image.

By adopting the above technical solution, based on the business data, first determine the range of the image captured by the remote sensing satellite, and then match the monitoring range set by the captured remote sensing image to determine the specific target area of the captured remote sensing image.

Optionally, after comparing remote sensing images at different times and extracting the changed target area, the method includes:

vectorizing the target region;

Performing a spatial overlay analysis on the vectorized data to obtain a changed vector;

By adopting the above technical solution, when the terminal compares the impact, the image data must be digitized before the comparison can be performed, the extracted target area is vectorized, and the vectorized impact data is subjected to spatial overlay analysis to form new features , get the changed vector, and match the changed vector data with the geographic basemap to get the surface change result.

Optionally, the obtaining of the geographic basemap vector data and the change vector type matches the target area, and generating the first change result includes:

Preset change vector types for different project types;

Match the target area change vector to the corresponding change vector type;

Match the target area change vector to the geographic basemap;

A first variation result is generated based on the matched project type and the matched geographic basemap.

By adopting the above technical solution, the vector data of satellite images of different engineering types are preset in the terminal, the extracted vector data and change vector types of the target area are used to determine the change type of the surface, and the vector data of the target area and the change vector type are used to determine the surface change type. The geographic base map is matched to determine the specific location of the surface change, the type of project that has changed and the specific location of the surface change, and the result of the surface change is generated. The surface change result includes the type of surface change and the location of the change.

Optionally, before the preset change vectors of different project types include:

Get project type and project geographic coordinates;

The project type images under the project geographic coordinates are captured by remote sensing satellites, and the images are processed and stored.

By adopting the above technical scheme, the construction type and coordinates of the ongoing engineering construction on the surface are obtained, the remote sensing satellite captures the remote sensing image under the geographic coordinates of the project, matches the remote sensing image with the corresponding project type, and compares the corresponding project type of the project. Image storage, when taking photos through remote sensing satellites in the later stage, you can compare the stored photos to determine the type of project corresponding to the images captured by the remote sensing satellites.

Optionally, the generation of the second change result by photographing the construction situation of the surface engineering through a camera includes:

Take the initial photos of the project through the camera;

processing the initial photo;

A second variation result is generated by comparing the initial photos from different time periods.

By adopting the above technical solution, since the remote sensing satellite can only take plane photos, the construction of the vertical plane cannot be taken by the satellite, the stereoscopic photos of the construction site are taken by the camera, and the physical strength photos taken by the camera are processed and compared. The initial photos of different time periods generate a second comparison result.

A surface change detection system, comprising: an acquisition module for acquiring remote sensing images in different periods through remote sensing satellites;

a processing module for preprocessing the remote sensing image;

a matching module for registering the processed remote sensing images based on business data;

The comparison module is used to compare remote sensing images at different times and extract the changed target area;

The first image module is used to obtain the geographic basemap vector data and the change vector type, match with the target area, and generate the first change result;

The second image module is used for photographing the construction situation of the surface engineering through the camera to generate the second change result;

The result module is configured to generate a surface change result based on the first change result and the second change result.

By adopting the above technical solution, the acquisition module acquires remote sensing images of different periods, and then processes the acquired remote sensing images through the processing module, and the matching module registers the processed images with the business data to determine the detection range, and then the comparison module extracts The first image module matches the target area with the change vector type of the geographic base map to obtain the first change result detected by the satellite, and then the second image module obtains the first image captured by the camera. The second change result, the camera shoots the construction of the longitudinal project on the ground surface, the result module combines the first change result and the second change result to jointly judge the change of the ground surface, and compares the ground surface photos taken by the satellite and the camera in different time periods to obtain the ground surface. As a result of the change, the burden of manual inspection is reduced, and the efficiency of obtaining the surface change information is accelerated.

Optionally, a data reading unit, used to obtain the original image captured by the remote sensing satellite;

The data processing unit performs radiometric calibration, atmospheric correction, orthorectification, and image fusion on the original image.

By adopting the above technical solution, the data reading unit reads the original image captured by the remote sensing satellite, and processes the obtained original image through the data processing unit, so that the terminal device can compare the influence and improve the accuracy of the comparison.

To sum up, the present application includes at least one of the following beneficial technical effects:

After obtaining the images of the surface along the subway line at different times through remote sensing satellites, the obtained images are preprocessed, the processed images are registered with the business data, the monitoring range is determined, and then the images of different time periods within the monitoring range are recorded. Carry out comparison, extract the changed area, then match the changed area with the geographic basemap vector data and change vector type, determine the specific location of the surface change and the type of change, generate the first change result, and then Combined with the engineering situation captured by the surface camera, the second change result is obtained, and the first change result and the second change result are combined to jointly judge the change of the surface. The captured images are processed and compared to determine the changes along the surface and the location of the changes, which eliminates the need for manual inspection of the surface and improves the detection efficiency.

Description of drawings

1 is a schematic flowchart of a method for detecting a surface change according to an embodiment of the present application;

FIG. 2 is a schematic flowchart of a method in step S110 of a method for detecting changes in the ground surface according to an embodiment of the present application;

FIG. 3 is a schematic flowchart of a method in step S120 of a method for detecting changes in the ground surface according to an embodiment of the present application;

FIG. 4 is a schematic flowchart of a method after step S130 of a method for detecting changes in the ground surface according to an embodiment of the present application;

FIG. 5 is a schematic flowchart of a method in step S140 of a method for detecting changes in the ground surface according to an embodiment of the present application;

FIG. 6 is a schematic flowchart of a method before step S500 of a method for detecting changes in the ground surface according to an embodiment of the present application;

FIG. 7 is a schematic flowchart of a method in step S150 of a method for detecting a change in the ground surface according to an embodiment of the present application.

Description of reference numerals: 1. Acquisition module; 2. Processing module; 3. Matching module; 4. Comparison module; 5. First image module; 6. Second image module; 7. Result module.

Detailed ways

The present application will be described in further detail below with reference to all the accompanying drawings.

The embodiment of the present application discloses a method for detecting changes in the ground surface. Referring to FIG. 1 , the method includes:

S100, obtaining remote sensing images in different periods through remote sensing satellites.

Among them, the remote sensing images of different periods are the images and photos of the same geographic coordinates taken by remote sensing satellites at different times, such as the images taken in May and the images taken in July at the terminal station of Metro Line 7.

S110, preprocessing the remote sensing image.

Among them, the purpose of preprocessing is to enable the remote sensing satellite images to be compared and to eliminate the influence of other factors in the shooting process, such as solar radiation, earth rotation and other factors that will produce images of remote sensing images.

S120. Register the processed remote sensing image based on the business data.

Among them, the business data is the geographic range to be detected, and the photographed image and the geographic area are registered to determine the geographic area of the photographed image, thereby reducing the data processing of the terminal.

S130, compare remote sensing images at different times and extract the changed target area.

Among them, remote sensing images of different time periods taken by remote sensing satellites are used to compare remote sensing images of different time periods to extract target areas where the surface of the same project site has changed. The target area is, for example, the area along Metro Line 7.

S140. Obtain the geographic base map vector data and the change vector type, match with the target area, and generate a first change result.

Among them, the geographic basemap is the data containing the latitude and longitude grid and basic geographic elements, the geographic elements are coastlines, traffic lines, etc., and the change vector types are vector images corresponding to different project types.

S150. Use a camera to photograph the construction situation of the surface engineering to generate a second change result.

Among them, since the satellite can only capture plane images, the construction of other dimensions of the project that has a greater impact on the surface construction cannot be detected by the satellite. Therefore, an additional camera is used to capture the construction of the surface project. The second change is that under the same location, Occurs on the surface at different time periods.

S160. Generate a surface change result based on the first change result and the second change result.

Among them, the surface change results obtained by the images captured by remote sensing satellites and the surface change results captured by cameras are combined to determine whether the surface has changed.

The implementation principle of a method for detecting land surface changes in the embodiment of the present application is as follows: after obtaining remote sensing images of different periods by remote sensing satellites, the remote sensing images are processed, and the processed images are subjected to geographic location matching to obtain the specific locations of the captured images. Compare remote sensing images at different times to extract the changed target area, and match the target area with the geographic basemap vector data and change vector data to obtain the specific engineering type and specific location of the surface change, and then combine the image captured by the camera. , to determine the area where the surface has changed, and combined with the area of change extracted from the images captured by remote sensing satellites and cameras, to jointly determine whether the surface has changed.

Referring to Figure 2, the preprocessing of remote sensing images includes:

S200. Acquire an original image captured by a remote sensing satellite.

S210 , performing radiometric calibration, atmospheric correction, orthorectification, and image fusion on the original image.

Among them, the radiometric calibration of the original image In order to compare the graphics of different remote sensing satellites at different times and extract the change information, it is necessary to convert the digital quantized DN value of the original image into the absolute amplitude brightness value, the DN value is the pixel value, and the digital The formula for converting the quantized DN value to the absolute radiance value is:

，

,

为原始量化的DN值，

为

=0时的辐射亮度值，

为

=

时的辐射亮度值，对原始影像进行大气校正为太阳辐射通过大气以某种方 式入射到物体表面然后再反射回传感器，由于大气溶胶、地形和邻近地物的影响，使得原始 影像包含物体表面、大气以及太阳信息等信息的综合，为准确得到物体表面的光谱，将其反 射信息从大气和太阳信息中分离出来，进行大气校正，卫星成像时，由于卫星的飞行速度、 地球自转等影响，造成图像相对于地面目标发生几何畸变，这种畸变表现为图像相对于地 面目标的实际位置发生挤压、扭曲、拉伸和偏移等，为消除这种畸变，需要对影像进行正射 校正，影响融合为对在时间或者空间上冗余的多源数据，进行处理，获得更准确的更丰富的 信息，生成具有新的空间、波谱的合成影像，使用的为HIS彩色空间变换融入法，HIS融合处 理时，首先将空间分辨率较低的多光谱RGB影像经过HIS变换后映射至HIS空间，将高空间分 辨率的全色影像与I分离影像进行直方图匹配后替换I分量，逆变回RGB色彩空间，In the formula,

is the original quantized DN value,

for

The radiance value at =0,

for

=

Atmospheric correction of the original image is made so that solar radiation is incident on the surface of the object through the atmosphere and then reflected back to the sensor. Due to the influence of atmospheric aerosols, terrain and nearby objects, the original image contains the surface, The synthesis of atmospheric and solar information and other information, in order to accurately obtain the spectrum of the surface of the object, the reflection information is separated from the atmospheric and solar information, and atmospheric correction is performed. The image is geometrically distorted relative to the ground target. This distortion is manifested in the fact that the image is squeezed, distorted, stretched and offset relative to the actual position of the ground target. In order to eliminate this distortion, the image needs to be orthorectified. Fusion is to process redundant multi-source data in time or space, obtain more accurate and richer information, and generate synthetic images with new space and spectrum. The HIS color space transformation and fusion method is used, and HIS fusion During processing, firstly, the multispectral RGB image with low spatial resolution is transformed into HIS space after HIS transformation, the high spatial resolution panchromatic image and I separated image are histogram-matched, then the I component is replaced, and the inversion is returned to RGB. color space,

Then the obtained image is cropped, the area outside the target area is removed, and finally the image is enhanced. The purpose of image enhancement is to improve the quality of image display, so as to facilitate the extraction and identification of image information. The method is achieved by highlighting important information and removing unimportant or unnecessary information. The purpose of image enhancement can be achieved by adjusting the histogram of digital images and performing mathematical operations or mathematical transformations between pixel brightness values.

After the image preprocessing is completed, the remote sensing index calculation is performed to enhance the characteristic information of the surface. The spectral reflection characteristics of the surface objects are visually expressed by the reflectance spectral curve, and change with the change of the reflection wavelength. The normalized vegetation index (NDVI) With the normalized water index (NDWI), the expression of ground object information is enhanced by calculating the spectral reflectance:

，

,

，

,

和

分别代表代表红外波段和红光波段的反射率，

为绿波段 的反射率。 In the formula,

and

represent the reflectance of the infrared band and the red band, respectively,

is the reflectance of the green band.

The implementation principle of the remote sensing image preprocessing in the embodiment of the present application is as follows: after obtaining the remote sensing image captured by the remote sensing satellite, the captured original image is subjected to radiometric positioning, and the influence medium brightness gray value is converted into absolute radiance, two Only images can be compared, and atmospheric correction is performed to accurately obtain the spectral properties of the surface of the object, and the information of the atmosphere and the sun is eliminated. Ortho correction is performed to eliminate the crowding of the image relative to the actual position of the ground target caused by the altitude of the remote sensing satellite and the rotation of the earth. Compression, distortion, stretching and offset, image fusion In order to obtain more accurate image data, the original image is processed, so that the original image can be compared and the error caused by the shooting of the image can be eliminated, so that the result is more accurate.

Referring to Figure 3, the registration of the processed remote sensing images based on business data includes:

S300. Based on the business data, a target detection range is set.

Among them, the target detection range is the surface range that needs to be detected.

S310. Match the remote sensing image with the detection range to confirm the target area of the remote sensing image.

Among them, the remote sensing image and the detection range are matched to the image shot for the remote sensing satellite, and the geographic location of the shot image is obtained by matching with the detection range.

To extract the target area, it is necessary to set the change detection index. The range of the change occurrence area is related to the selection of the change detection index and the setting of the threshold. A single distance index or similarity index is used to compare the feature differences between remote sensing images of different phases. The threshold value determines whether the surface coverage type of the corresponding area of the pixel has changed. The calculation formula is:

，

,

表示第i个像元的变化检测指标值，

和

分别表示第i个像素第p波 段时相

、

的特征值，n表示波段数量。 In the formula,

represents the change detection index value of the i-th pixel,

and

Respectively represent the time phase of the i-th pixel in the p-th band

,

The eigenvalues of , n is the number of bands.

After calculating the change detection index, it is necessary to set the threshold and judgment conditions to determine whether the pixel has changed, so as to detect the suspicious pixel that has changed, and use the weighted average and standard deviation to define the threshold by performing histogram statistics on the change detection index value. , the calculation formula is:

，

,

表示变化指标值的加权平均值，

表示标准方差，

表示调整 参数，调整参数的范围为[0,1.5],通过调整参数，使确定的阈值适合与目标区域内不同地 表覆盖类型变化信息的确定，变化检测值大于等于阈值的像素为发生变化的可疑像素。 In the formula, c represents the threshold,

represents the weighted average of the change index values,

is the standard deviation,

Indicates the adjustment parameter, the range of the adjustment parameter is [0, 1.5], by adjusting the parameter, the determined threshold value is suitable for the determination of the change information of different types of surface coverage in the target area, and the pixel whose change detection value is greater than or equal to the threshold value is suspicious for change pixel.

The implementation principle of registering the processed remote sensing images based on the service data in the embodiment of the present application is as follows: the target range to be detected is preset in the terminal in advance, and then the range to be detected is matched with the image captured by the remote sensing satellite to obtain The geographic location of the captured image.

Referring to Figure 4, after comparing remote sensing images at different times and extracting the changed target area, it includes:

S400, vectorize the target area.

Among them, when the terminal processes the graphics, the terminal cannot directly process the image, and the image must be vectorized before processing. After the image is vectorized, each target is composed of points, lines and surfaces. image, and extract different regions through vectorized data.

S410. Perform spatial overlay analysis on the vectorized data to obtain a changed vector.

Among them, after the vector data of the changed area is extracted, it is spatially overlapped with the preset geographic basemap data and the preset change vector type. The overlap analysis is to overlap two or more layers of map elements to generate a new element. The operation of layers results in dividing the original elements into new elements, and the new elements combine the attributes of the original two or more layers of elements.

The implementation principle after comparing remote sensing images at different times and extracting the changed target area in this embodiment of the present application is as follows: in order to extract the vector of the changed area, the terminal vectorizes the image, and then extracts the changed area through the vector data, and then The extracted vector areas are spatially overlapped to obtain human-recognizable graphics and geographic locations.

Referring to Figure 5, obtain the geographic base map vector data and the change vector type, match the target area, and generate the first change result including:

S500, preset change vector types of different project types.

Among them, different project types are the types of surface changes, mainly including soil remediation, building demolition, road construction, new roads, trail projects, stacking, house construction, greening construction and other factors. The captured images are preset in the terminal in advance. In order to facilitate later matching, the images captured by remote sensing satellites can correspond to the corresponding project types.

S510. Match the target area change vector with the corresponding change vector.

Among them, the extracted target area change vector is matched with the preset change vector to determine the type of change that occurs on the surface, such as soil restoration, building construction, and the like.

S520. Match the target area change vector with the geographic base map.

Among them, the target area is matched with the geographic base map to determine the specific geographic location of the image captured by the remote sensing satellite, the image raster is vectorized, and the vector of the geographic base map is paired to obtain the specific geographic location where the surface changes.

S530. Generate a first change result based on the matched project type and the matched geographic basemap.

Wherein, the first change result is a graph including the position where the ground surface changes and the type of the change, for example, the starting point of Metro Line 7 is undergoing road construction.

In the embodiment of the present application, the geographic basemap vector data and the change vector type are obtained, matched with the target area, and the implementation principle of generating the first change result is: extracting the changed area from the image captured by the remote sensing satellite, The preset change vector types are matched to determine the type of surface change, and the target area change vector is matched with the geographic base map to obtain the geographic location where the surface has changed. A change result.

Referring to Figure 6, the preset change vectors for different project types include:

S600. Obtain the project type and the project geographic coordinates.

Among them, the geographic coordinates of the project are the geographic locations where the project is under construction within the detected range.

S610. Shooting project type images under the geographic coordinates of the project through remote sensing satellites, processing and storing the images.

Among them, different types of engineering construction images captured by satellites are stored and corresponded one by one, such as satellite images corresponding to house construction and satellite images corresponding to soil remediation. When the detected area is under construction, the type of construction and The coordinates are uploaded to the satellite, and the satellite captures the image of the project type under this geographic coordinate.

The implementation principle before the preset variation vectors of different engineering types in this embodiment of the present application are as follows: the engineering types performed on the surface are stored corresponding to the images captured by the satellite, and the images captured by the satellites can be directly compared with the data in the terminal in the later stage. Know what type of construction it is.

Referring to FIG. 7 , comparing the construction conditions of the surface engineering captured by the camera in different time periods, and generating the second change result includes:

S700. Take the initial photos of the project through the camera.

Among them, the camera is usually installed along the line of the target to be detected, and is used to capture engineering construction images with large images along the ground surface, such as house construction, road construction, etc.

S710. Process the initial photo.

Among them, processing the initial photos includes shooting several pieces of test image data, labeling the image data, marking the building as 1, displaying white, and the others as 0, displaying black, and then separating the image data and cropping it into pixels of the required size Blocks, such as image blocks of 160 pixels*160 pixels, increase the number of samples, increase the amount of sample information, and improve the accuracy.

S720. Compare initial photos in different time periods to generate a second change result.

Among them, when comparing images of different time periods, the separated image blocks are compared one by one, and the changed graphic blocks are extracted, and it is judged whether the building has changed according to the previous annotation.

In this embodiment of the present application, a camera is used to photograph the construction situation of the surface engineering, and a second change result is generated: for a building with a large surface change image, the photographed photos are marked, and the buildings and other things are marked differently to show different images. Then, in order to have a higher detection accuracy, the image is separated, and the separated graphic blocks are compared to judge the changes of the ground surface.

A surface detection method is described in detail in the above embodiments, and a surface detection system applied to a surface detection method is described below.

8, a surface change detection system includes:

The acquisition module 1 is used for acquiring remote sensing images in different periods through remote sensing satellites.

The processing module 2 is used for preprocessing the remote sensing image, and the processing module 2 includes: a data reading unit, used for acquiring the original image captured by the remote sensing satellite.

The data processing unit performs radiometric calibration, atmospheric correction, orthorectification, and image fusion on the original image.

The matching module 3 is used for registering the processed remote sensing images based on the business data.

The comparison module 4 is used to compare remote sensing images at different times and extract the changed target area.

The first image module 5 is used for acquiring the geographic basemap vector data and the change vector type, matching with the target area, and generating the first change result.

The second image module 6 is used for photographing the construction situation of the surface engineering through a camera to generate a second change result.

The result module 7 is configured to generate a surface change result based on the first change result and the second change result.

The implementation principle of a surface change detection system in the embodiment of the present application is as follows: an acquisition module 1 acquires remote sensing images of different periods, and then processes the acquired remote sensing images through a processing module 2, and a matching module 3 combines the processed images with the business The data is registered to determine the scope of detection, and then the comparison module 4 extracts the target area that has changed in the remote sensing images in different periods. Then the second image module 6 obtains the second change result captured by the camera, and the camera captures the longitudinal engineering construction situation on the ground surface, and the result module 7 combines the first change result and the second change result. , and compare the surface photos of different time periods taken by satellites and cameras to obtain the results of surface changes.

The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Therefore: all equivalent changes made according to the structure, shape and principle of the present application should be included in the protection scope of the present application. Inside.

Claims (9)

1. A method for detecting surface variations, comprising:

acquiring remote sensing images in different periods through a remote sensing satellite;

preprocessing the remote sensing image;

registering the processed remote sensing image based on the service data;

comparing the remote sensing images at different times and extracting a changed target area;

acquiring vector data and a change vector type of a geographic base map, matching the vector data and the change vector type with a target area, and generating a first change result;

the earth surface engineering construction conditions are shot through the cameras in different time periods, and a second change result is generated;

and generating a surface change result based on the first change result and the second change result.

2. A method of detecting surface variations according to claim 1, characterized by: the remote sensing image preprocessing comprises the following steps:

acquiring an original image shot by a remote sensing satellite;

and carrying out radiometric calibration, atmospheric correction, orthorectification and image fusion on the original image.

3. A method for detecting surface variations according to claim 1, characterized in that: the registering the processed remote sensing image based on the service data comprises:

setting a target detection range based on the service data;

and matching the remote sensing image with the detection range to confirm the target area of the remote sensing image.

4. A method of detecting surface variations according to claim 1, characterized by: after comparing the remote sensing images at different time and extracting the changed target area, the method comprises the following steps:

vectorizing the target region;

and carrying out space superposition analysis on the vectorized data to obtain a changed vector.

5. A method of detecting surface variations according to claim 1, characterized by: the acquiring of the geographic base map vector data and the change vector type, matching with the target area, and generating the first change result includes:

presetting the change vector types of different engineering types;

matching the target area change vector with a corresponding change vector;

matching the target area change vector with a geographic base map;

and generating a first change result based on the matched engineering type and the matched geographic base map.

6. A method of detecting surface variations according to claim 5, characterized in that: the presetting of the change vectors of different engineering types comprises the following steps:

acquiring a project type and a project geographic coordinate;

and shooting an engineering type image under an engineering geographic coordinate through a remote sensing satellite, and processing and storing the image.

7. A method of detecting surface variations according to claim 1, characterized by: the earth's surface engineering construction condition is shot through the camera, and the generation second change result includes:

shooting an engineering initial photo through a camera;

the initial photograph is processed.

8. A surface change detection system, characterized by: the method comprises the following steps:

the acquisition module (1) is used for acquiring remote sensing images in different periods through a remote sensing satellite;

the processing module (2) is used for preprocessing the remote sensing image;

the matching module (3) is used for registering the processed remote sensing image based on the service data;

the comparison module (4) is used for comparing the remote sensing images at different times and extracting a changed target area;

the first image module (5) is used for acquiring the vector data and the change vector type of the geographic base map, matching the vector data and the change vector type with the target area and generating a first change result;

and the second image module (6) is used for shooting the ground surface engineering construction condition through the camera and generating a second change result.

9. A surface alteration detection system according to claim 8, characterized in that said processing module (2) comprises:

the data reading unit is used for acquiring an original image shot by a remote sensing satellite;

and the data processing unit is used for carrying out radiometric calibration, atmospheric correction, orthometric correction and image fusion on the original image.

Images