CN114445394A - Method and system for detecting surface change - Google Patents
Method and system for detecting surface change Download PDFInfo
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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
Technical Field
The present application relates to the field of surface detection, and in particular, to a method and system for detecting surface variations.
Background
China is the first major country in the world, the national conditions of a large population determine to implement a public transportation priority development strategy for a long time, in order to reduce the public transportation pressure of China, the development of subways is imperative, and as the subways are built underground and have complex geological conditions, in recent years, no notification stack-loading event is frequently generated above suburban tunnels, so that cracks of the subway tunnels can be caused, and great potential safety hazards are brought to the safe operation of the subway tunnels.
In the related technology, the underground surface change inspection along the subway line is mainly performed in a manual inspection mode at present, and changes on the surface of the subway are reported and processed in time through manual inspection along the surface of the subway, so that safe operation of the subway is guaranteed.
Aiming at the related technologies, the inventor thinks that the manual patrol of the ground along the subway has the problems of large workload, large investment and low efficiency. .
Disclosure of Invention
In order to reduce the burden of manual inspection and improve the monitoring efficiency, the application provides a method and a system for monitoring the ground surface of a subway along the line.
The ground monitoring method and the ground monitoring system adopt the following technical scheme:
a method for monitoring surface changes comprises the steps of obtaining 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.
By adopting the technical scheme, after images of the ground surface along the subway line at different times are obtained through the remote sensing satellite, the obtained images are preprocessed, the processed images are registered with service data to determine a monitoring range, then the images in different time periods in the monitoring range are compared to extract a changed area, then the changed area is matched with the vector data and the type of a geographical base map to determine the specific position and the type of the change of the ground surface, a first change result is generated, then a second change result is obtained by combining the engineering condition shot by the ground surface camera, the change of the ground surface is jointly judged by combining the first change result and the second change result, and when the images are changed along the subway line, the images shot by the satellite and part of cameras installed along the ground surface, after the images are processed and compared, changes along the earth surface and the changed positions are judged, the earth surface does not need to be patrolled manually, and meanwhile the detection efficiency is improved.
Optionally, the preprocessing the remote sensing image includes:
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.
By adopting the technical scheme, the photo that the remote sensing satellite was shot receives the influence of multiple factor, it is not very clear, carry out radiation positioning with the original image of shooing, luminance grey scale value converts absolute radiance into in will influencing, two images can compare, carry out atmosphere correction to the spectral attribute that accurately obtains the object surface, eliminate atmosphere and sun's information, carry out the orthoscopic correction and take place to extrude, distort, stretch and skew for the actual position of ground target for the image that eliminates remote sensing satellite's height and earth rotation etc. brought, image fusion is in order to obtain more accurate image data, handle original image, in order to be that original image can compare and eliminate the error that brings when shooing the image, make the result more accurate.
Optionally, the registering the processed remote sensing image based on the service data includes:
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.
By adopting the technical scheme, based on the service data, the range of the image shot by the remote sensing satellite is firstly determined, then the set monitoring range of the shot remote sensing image is matched, and the specific target area of the shot remote sensing image is judged.
Optionally, after comparing the remote sensing images at different times and extracting the changed target area, the method includes:
vectorizing the target region;
carrying out space superposition analysis on the vectorized data to obtain a changed vector;
by adopting the technical scheme, when the terminal compares the influence, the image data can be compared only by converting the image data, the extracted target area is vectorized, the vectorized influence data is subjected to space superposition analysis to form new characteristics, changed vectors are obtained, and the changed vector data is matched with the geographical base map to obtain the earth surface change result.
Optionally, the obtaining of the geographic base map vector data and the type of the change vector, 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 the corresponding change vector type;
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.
By adopting the technical scheme, the vector data of the satellite images of different project types are preset in the terminal, the extracted vector data and the extracted change vector types of the target area are used for determining the change type of the earth surface, the vector data of the target area are matched with the geographical base map, the specific position of the earth surface is determined, the changed project type and the specific position of the earth surface are determined, and an earth surface change result is generated and comprises the type of the earth surface and the changed position.
Optionally, the presetting of the change vectors of different engineering types includes:
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.
By adopting the technical scheme, the construction type and the coordinates of the earth surface in engineering construction are obtained, the remote sensing satellite shoots the remote sensing image under the engineering geographic coordinates, the remote sensing image is matched with the corresponding engineering type, the engineering image of the corresponding engineering type is stored, and when the remote sensing satellite shoots the picture in the later period, the stored picture can be compared to judge what the engineering type corresponding to the image shot by the remote sensing satellite is.
Optionally, shooting the ground surface engineering construction condition through the camera, and generating a second change result includes:
shooting an engineering initial photo through a camera;
processing the initial photograph;
and comparing the initial photos in different time periods to generate a second change result.
By adopting the technical scheme, the remote sensing satellite can only shoot a plane photo, the construction on a vertical plane cannot be shot through the satellite, the camera shoots a stereo photo of an engineering field, the physical photo shot by the camera is processed, initial photos in different time periods are compared, and a second comparison result is generated.
A surface alteration detection system comprising: the acquisition module is used for acquiring remote sensing images in different periods through a remote sensing satellite;
the processing module is used for preprocessing the remote sensing image;
the matching module is used for registering the processed remote sensing image based on the service data;
the comparison module is used for comparing the remote sensing images at different times and extracting a changed target area;
the first image module 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 a target area and generating a first change result;
the second image module is used for shooting the ground surface engineering construction condition through the camera and generating a second change result;
and the result module is used for generating a surface change result based on the first change result and the second change result.
By adopting the technical scheme, the acquisition module acquires remote sensing images at different periods, the acquired remote sensing images are processed by the processing module, the matching module registers the processed images with service data to determine the detection range, the comparison module extracts the changed target area of the remote sensing corresponding images at different periods, the first image module matches the target area with the change vector type of the geographic base map to obtain a first change result detected by a satellite, the second image module acquires a second change result shot by a camera, the camera shoots the longitudinal construction condition of the earth surface, the result module jointly judges the change condition of the earth surface by combining the first change result and the second change result, earth surface pictures shot by the satellite and the camera at different time periods are compared to obtain the earth surface change result, and the burden of manual routing inspection is reduced, and the acquisition efficiency of acquiring the earth surface change information is accelerated.
Optionally, the data reading unit is configured to obtain an original image captured 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.
By adopting the technical scheme, the data reading unit reads the original image shot by the remote sensing satellite, and the obtained original image is processed by the data processing unit, so that the terminal equipment can compare the influence and improve the comparison accuracy.
In summary, the present application includes at least one of the following beneficial technical effects:
after images of the ground surface along the subway line at different times are acquired through a remote sensing satellite, the acquired images are preprocessed, the processed images are registered with service data, a monitoring range is determined, then the images in different time periods in the monitoring range are compared, a changed area is extracted, the changed area is matched with geographical base map vector data and a change vector type, the specific position and the type of the ground surface are determined, a first change result is generated, then a second change result is obtained by combining the engineering condition shot by a ground surface camera, the change of the ground surface is jointly judged by combining the first change result and the second change result, when the subway line changes, the images shot by the satellite and part of cameras installed along the ground surface line are processed and compared, the change and the changed position along the earth surface are judged, the earth surface is not required to be manually patrolled, and meanwhile, the detection efficiency is also improved.
Drawings
FIG. 1 is a schematic flow chart illustrating a method for detecting surface variations according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a method of detecting a change in a surface of a ground in an embodiment of the present application, in which step S110 is shown;
fig. 3 is a schematic flowchart of a method of detecting a change in a surface of a ground in an embodiment of the present application, in which step S120 is shown;
fig. 4 is a schematic flowchart illustrating a method after a step S130 in a method for detecting a change in a surface of a ground according to an embodiment of the present application;
fig. 5 is a schematic flowchart of a method of detecting a change in a surface of a ground in an embodiment of the present application, in which step S140 is shown;
fig. 6 is a schematic flowchart of a method before step S500 in a method for detecting a change in a surface according to an embodiment of the present application;
fig. 7 is a schematic flowchart of a step S150 of a method for detecting a change in a surface according to an embodiment of the present application.
Description of reference numerals: 1. an acquisition module; 2. a processing module; 3. a matching module; 4. a comparison module; 5. a first image module; 6. a second image module; 7. and a result module.
Detailed Description
The present application is described in further detail below with reference to the accompanying drawings.
The embodiment of the application discloses a method for detecting surface change, which refers to fig. 1 and comprises the following steps:
s100, remote sensing images in different periods are obtained through a remote sensing satellite.
The remote sensing images in different periods are images of the same geographic coordinate at different times, such as an image taken in 5 months and an image taken in 7 months at a 7-line terminal of a subway.
And S110, preprocessing the remote sensing image.
The purpose of the preprocessing is to enable comparison of remote sensing satellite shooting and eliminate influence caused by other factors in the shooting process, for example, factors such as solar radiation and earth rotation can generate images on remote sensing images.
And S120, registering the processed remote sensing image based on the service data.
The service data is the geographical range to be detected, the shot images and the geographical range are registered, the geographical range of the shot images is determined, and data processing of the terminal is reduced.
And S130, comparing the remote sensing images at different time and extracting a changed target area.
The remote sensing images of different time periods are shot by the remote sensing satellite, the remote sensing images of different time periods are compared, and a target area with the changed earth surface in the same engineering place is extracted, wherein the target area is an area along a No. 7 subway line, for example.
And S140, acquiring the vector data and the change vector type of the geographic base map, matching the geographic base map with the target area, and generating a first change result.
The geographic base map is data comprising a graticule and a basic geographic element, the geographic element is a coastline, a traffic line and the like, and the change vector type is a vector image corresponding to different engineering types.
And S150, shooting the ground surface engineering construction condition through a camera, and generating a second change result.
The satellite can only shoot a plane image, and other dimension construction of projects with large influence on earth surface construction cannot be detected through the satellite, so that earth surface engineering construction conditions are shot by additionally adopting the camera, and a second change result is that the earth surface occurs at different time periods in the same place.
And S160, generating a surface change result based on the first change result and the second change result.
The earth surface change result obtained by the image shot by the remote sensing satellite and the earth surface change result shot by the camera are combined to judge whether the earth surface changes.
The implementation principle of the method for detecting the change of the ground surface in the embodiment of the application is as follows: the method comprises the steps of obtaining remote sensing images in different periods through a remote sensing satellite, processing the remote sensing images, matching the geographic positions of the processed images to obtain the specific positions of shot images, comparing the remote sensing images in different periods to extract changed target areas, matching the target areas with geographic base map vector data and change vector data to obtain specific engineering types and specific positions of earth surfaces, judging the changed areas of the earth surfaces by combining the images shot by a camera, and jointly judging whether the earth surfaces are changed by combining the remote sensing satellite and the change areas extracted by the images shot by the camera.
Referring to fig. 2, the preprocessing the remote sensing image includes:
and S200, obtaining an original image shot by the remote sensing satellite.
S210, carrying out radiometric calibration, atmospheric correction, orthometric correction and image fusion on the original image.
The method comprises the following steps of performing radiometric calibration on an original image, in order to compare graphs of different remote sensing satellites at different times and extract change information, converting a digital quantization DN value of the original image into an absolute amplitude brightness value, wherein the DN value is a pixel value, and a formula for converting the digital quantization DN value into an absolute radiance value is as follows:
in the formula (I), the compound is shown in the specification,
for the original quantized DN value of the video signal,
is composed of
A radiance value at which =0,
is composed of
=
The radiation brightness value is corrected to the original image by the atmosphere, the original image is made to be the solar radiation which is incident to the object surface through the atmosphere in a certain mode and then reflected back to the sensor, the original image comprises the integration of the information of the object surface, the atmosphere, the sun information and the like due to the influence of the aerosol, the terrain and the adjacent ground objects, the spectrum of the object surface is accurately obtained, the reflection information is separated from the atmosphere and the sun information, the atmosphere correction is carried out, the geometric distortion of the image relative to the ground target is caused by the influence of the flight speed of the satellite, the earth rotation and the like during the satellite imaging, the distortion is expressed as the extrusion, distortion, stretching, deviation and the like of the actual position of the image relative to the ground target, the orthoscopic correction is carried out on the image to eliminate the distortion, the influence is fused into the multi-source data which are redundant in time or space and is processed, obtaining more accurate and richer information, generating a synthetic image with new space and wave spectrum, using an HIS color space transformation fusion method, when HIS fusion processing is carried out, firstly mapping a multispectral RGB image with lower spatial resolution to an HIS space after HIS transformation, carrying out histogram matching on a panchromatic image with high spatial resolution and an I separation image, replacing an I component, inverting to the RGB color space,
and then cutting the obtained image, removing the region except the target region, and finally enhancing the image, wherein the purpose of image enhancement is to improve the image display quality so as to be beneficial to the extraction and identification of image information. The method is realized by highlighting important information and removing unimportant or unnecessary information. The purpose of image enhancement can be achieved by adjusting the histogram of the digital image and performing mathematical operation or mathematical transformation between pixel brightness values.
After image preprocessing is finished, remote sensing index calculation is carried out, the characteristic information of earth surface displacement is enhanced, the spectral reflection characteristic of an earth surface object is visually expressed through a reflection spectral curve of a device and changes along with the change of reflection wavelength, and the expression of the ground feature information is enhanced through calculating the spectral reflectivity by a normalized vegetation index (NDVI) and a normalized water body index (NDWI):
in the formula (I), the compound is shown in the specification,
and
respectively representing the reflectivities representing the infrared band and the red band,
the reflectance of the green band.
The implementation principle of the embodiment of the application for preprocessing the remote sensing image is as follows: after a remote sensing image shot by a remote sensing satellite is obtained, radiation positioning is carried out on the shot original image, brightness gray values in the influence are converted into absolute radiation brightness, the two images can be compared, atmospheric correction is carried out to accurately obtain spectral attributes of the surface of an object, information of atmosphere and sun is eliminated, orthorectification is carried out to eliminate the extrusion, distortion, stretching and deviation of the image relative to the actual position of a ground target caused by the height of the remote sensing satellite, the earth rotation and the like, the image fusion is carried out to obtain more accurate image data, the original image is processed, errors caused when the original image is shot can be compared and eliminated, and the result is more accurate.
Referring to fig. 3, registering the processed remote sensing image based on the service data includes:
and S300, setting a target detection range based on the service data.
The target detection range is the ground surface range required to be detected.
And S310, matching the remote sensing image with the detection range, and confirming the target area of the remote sensing image.
And matching the remote sensing image with the detection range to obtain an image shot by a remote sensing satellite, and obtaining the geographic position of the shot image by matching with the detection range.
Extracting a target area, setting a change detection index, comparing the range of a change occurrence area with the selection of the change detection index and the setting of a threshold value by using indexes such as single distance index or similarity and the like, and judging whether the earth surface coverage type of the area corresponding to a pixel changes according to the determined threshold value, wherein the calculation formula is as follows:
in the formula (I), the compound is shown in the specification,
a change detection index value representing the ith pixel,
and
respectively representing the p-band phase of the ith pixel
、
N represents the number of bands.
After the change detection index is calculated, a threshold value and a judgment condition are required to be set, whether the pixel changes or not is determined, so that a suspicious pixel which changes is detected, histogram statistics is carried out on the change detection index value, the threshold value is defined by using a weighted average value and a standard variance, and the calculation formula is as follows:
in the formula, c represents a threshold value,
a weighted average value representing the value of the variation index,
the standard deviation is expressed as a function of,
represents the adjustment parameter, the range of the adjustment parameter is [0,1.5 ]]And adjusting parameters to ensure that the determined threshold value is suitable for determining the change information of different ground surface coverage types in the target area, wherein the pixel of which the change detection value is greater than or equal to the threshold value is a suspicious pixel which is changed.
The implementation principle of the embodiment of the application for registering the processed remote sensing image based on the service data is as follows: a target range to be detected is preset in the terminal in advance, and then the range to be detected is matched with the image shot by the remote sensing satellite to obtain the geographic position of the shot image.
Referring to fig. 4, comparing remote sensing images at different times and extracting a changed target region includes:
and S400, vectorizing the target region.
When the terminal processes the graph, the terminal cannot directly process the image, the image vectorization can be performed only by vectorizing the image, after the image vectorization, each target is composed of a point, a line and a plane, images in different time periods are compared, and different regions are extracted through vectorized data.
And S410, carrying out space superposition analysis on the vectorized data to obtain a changed vector.
After the vector data of the change area is extracted, the vector data is spatially overlapped with the preset geographic base map data and the preset change vector type, the overlapping analysis is an operation of overlapping two or more layers of map elements to generate a new element layer, the original element is divided into new elements according to the result, and the new elements integrate the attributes of the original two or more layers of elements.
The implementation principle of the embodiment of the application after comparing the remote sensing images at different time and extracting the changed target area is as follows: the terminal vectorizes the image so as to extract the vector of the changed area, extracts the changed area through vector data, and then performs spatial superposition on the extracted vector area to obtain the figure and the geographic position which can be identified by people.
Referring to fig. 5, acquiring geographic base map vector data and a change vector type, matching with a target area, and generating a first change result includes:
and S500, presetting the change vector types of different engineering types.
The different engineering types are types with changed earth surfaces, mainly comprise soil restoration, building dismantling, pavement construction, newly-built roads, footpath engineering, stacking, house construction, greening construction and other factors, and are preset in the terminal in advance based on images shot by the satellite, so that the images shot by the remote sensing satellite can correspond to the corresponding engineering types when the images are matched in the later period.
And S510, matching the target area change vector with a corresponding change vector.
The extracted target area change vector is matched with a preset change vector, and the change type of the earth surface is judged, such as soil remediation, house construction and the like.
And S520, matching the target area change vector with the geographic base map.
The method comprises the steps of determining the specific geographic position of an image shot by a remote sensing satellite by matching a geographic base map in a target area, and matching grid vectorization of the image with a vector of the geographic base map to obtain the specific geographic position of the earth's surface.
S530, generating a first change result based on the matched engineering type and the matched geographic base map.
The first change result is a graph containing the position where the earth surface changes and the type of the change, for example, the starting point position of the subway line No. 7 is in road construction.
The implementation principle of acquiring the geographic base map vector data and the change vector type, matching the geographic base map vector data and the change vector type with the target area and generating the first change result is as follows: the method comprises the steps of extracting a changed area from an image shot by a remote sensing satellite, matching the changed area with a preset change vector type, judging the type of the change of the earth surface, matching a target area change vector with a geographical base map to obtain the geographical position of the change of the earth surface, and obtaining a first change result according to the obtained geographical position and the type of the change of the earth surface.
Referring to fig. 6, the presetting of the variation vectors of different engineering types previously includes:
s600, acquiring the project type and the project geographic coordinates.
And the engineering geographic coordinate is the geographic position of the engineering construction in the detected range.
S610, shooting a project type image under the project geographic coordinate through a remote sensing satellite, and processing and storing the image.
The engineering construction images of different types shot by the satellite are stored and correspond to one another, for example, the satellite images corresponding to building construction and the satellite images corresponding to soil restoration, when the detected area is in engineering construction, the type and the coordinates of the engineering construction are uploaded to the satellite, and the satellite shoots the engineering type images under the geographic coordinates.
The implementation principle before presetting the change vectors of different engineering types in the embodiment of the application is as follows: the engineering type carried out on the earth surface is stored corresponding to the image shot by the satellite, and the construction type can be known by directly comparing the image shot by the satellite with the data in the terminal at the later stage.
Referring to fig. 7, comparing the ground surface engineering construction conditions shot by the cameras in different time periods, and generating a second change result includes:
s700, shooting an initial project picture through a camera.
The camera is usually installed along a line of a target to be detected and used for shooting engineering construction images with large images along the line of the earth surface, such as building construction, road construction and the like.
And S710, processing the initial photo.
The method comprises the steps of processing an initial photo, wherein the steps of shooting a plurality of pieces of test image data, labeling the image data, marking a building as 1, displaying white, displaying black, and then separating the image data, cutting the image data into pixel blocks with required sizes, such as 160 pixels by 160 pixels, increasing the number of samples, improving the information content of the samples and improving the precision.
S720, comparing the initial photos in different time periods to generate a second change result.
When images in different time periods are compared, the separated image blocks are compared one by one, the changed image block is extracted, and whether the building is changed or not is judged according to the previous marks.
The embodiment of the application shoots the earth's surface engineering construction condition through the camera, generates the second change result: the method comprises the steps of marking a shot photo for a building with a large earth surface change image, marking the building and other things to be processed differently to display different colors, then separating the image for higher detection precision, comparing the separated graphic blocks, and judging the change of the earth surface.
In the above embodiments, a ground surface detection method is explained in detail, and a ground surface detection system applied to the ground surface detection method is explained below.
Referring to fig. 8, a surface change detection system includes:
the acquisition module 1 is used for acquiring remote sensing images in different periods through 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.
And the matching module 3 is used for registering the processed remote sensing image based on the service data.
And the comparison module 4 is used for comparing the remote sensing images at different times and extracting a changed target area.
And the first image module 5 is used for acquiring the geographic base map vector data and the change vector type, matching the geographic base map 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.
And a result module 7, 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 application is as follows: the method comprises the steps that an acquisition module 1 acquires remote sensing images at different periods, the acquired remote sensing images are processed through a processing module 2, a matching module 3 registers the processed images with service data to determine the detection range, a comparison module 4 extracts a target region of the remote sensing images at different periods, a first image module 5 matches the target region with the change vector type of a geographic base map to obtain a first change result of satellite detection, a second image module 6 acquires a second change result of camera shooting, the camera shooting is the longitudinal construction condition of the earth surface, a result module 7 jointly judges the change condition of the earth surface according to the first change result and the second change result, and earth surface pictures of different periods of time shot by the satellite and the camera are compared to obtain an earth surface change result.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
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.
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