Slope three-dimensional deformation monitoring method, device and equipment based on remote sensing technology

Abstract

The invention discloses a slope three-dimensional deformation monitoring method, device and equipment based on a remote sensing technology, and relates to the field of slope deformation monitoring, and the method comprises the steps: obtaining a remote sensing image and digital elevation model data of a target slope; the remote sensing image comprises an optical image and a synthetic aperture radar image; according to the optical image and the digital elevation model data, calculating plane deformation data of the target slope by adopting an optical flow tracking method; the plane deformation data comprises plane deformation displacement and a plane deformation displacement direction; according to the synthetic aperture radar image, calculating vertical deformation data of the target slope by adopting a synthetic aperture radar interference technology; the vertical deformation data comprises vertical deformation displacement; and according to the plane deformation data and the vertical deformation data, a three-dimensional deformation field of the target slope is constructed by adopting a data fusion algorithm, and monitoring of three-dimensional deformation information of the slope can be comprehensively and accurately realized.

Description

Technical Field

[0001] The present application relates to the field of slope deformation monitoring, and in particular to a method, device and equipment for three-dimensional slope deformation monitoring based on remote sensing technology. Background Art

[0002] Railway cuttings are one of the main forms of linear engineering crossing hills and mountains. However, in recent years, due to the influence of factors such as excavation and rainfall, deformation disasters of cutting slopes have occurred frequently, often leading to serious safety accidents such as landslides or collapses, which have brought huge safety hazards to engineering construction and operation. Therefore, ensuring the stability of cutting slopes is crucial to ensuring the safety of railway projects, and conducting research on slope deformation monitoring and stability assessment has important practical significance.

[0003] Traditional slope monitoring methods mainly rely on single-point devices such as displacement meters. These methods have high precision and strong real-time performance, but there is also subjectivity in the selection of monitoring instrument placement, and it is impossible to fully detect the surface deformation of the slope, resulting in insufficient identification of potential risks. In addition, single-point monitoring methods are often limited to deformation detection within a small range and cannot effectively capture the overall deformation trend of large-area slopes. Therefore, how to comprehensively and accurately monitor the three-dimensional deformation information of the slope has become a problem that needs to be solved urgently. Summary of the invention

[0004] The purpose of this application is to provide a three-dimensional slope deformation monitoring method, device and equipment based on remote sensing technology, which can comprehensively and accurately monitor the three-dimensional deformation information of the slope.

[0005] To achieve the above objectives, this application provides the following solutions.

[0006] In a first aspect, the present application provides a three-dimensional slope deformation monitoring method based on remote sensing technology, comprising the following steps.

[0007] Acquire remote sensing images and digital elevation model data of the target slope; the remote sensing images include: optical images and synthetic aperture radar images.

[0008] According to the optical image and the digital elevation model data, the plane deformation data of the target slope is calculated by using an optical flow tracing method; the plane deformation data includes: plane deformation displacement and plane deformation displacement direction.

[0009] According to the synthetic aperture radar image, the vertical deformation data of the target slope is calculated by using synthetic aperture radar interferometry technology; the vertical deformation data includes: vertical deformation displacement.

[0010] A three-dimensional deformation field of the target slope is constructed using a data fusion algorithm according to the plane deformation data and the vertical deformation data.

[0011] In the second aspect, the present application provides a three-dimensional slope deformation monitoring device based on remote sensing technology, including: a data acquisition module for acquiring remote sensing images and digital elevation model data of the target slope; the remote sensing images include: optical images and synthetic aperture radar images.

[0012] The plane deformation data calculation module is used to calculate the plane deformation data of the target slope by using the optical flow tracing method according to the optical image and the digital elevation model data; the plane deformation data includes: plane deformation displacement and plane deformation displacement direction.

[0013] The vertical deformation data calculation module is used to calculate the vertical deformation data of the target slope according to the synthetic aperture radar image by using synthetic aperture radar interferometry technology; the vertical deformation data includes: vertical deformation displacement.

[0014] The three-dimensional deformation field construction module is used to construct the three-dimensional deformation field of the target slope by using a data fusion algorithm according to the plane deformation data and the vertical deformation data.

[0015] In a third aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any one of the above-mentioned three-dimensional slope deformation monitoring methods based on remote sensing technology.

[0016] According to the specific embodiments provided in the present application, the present application has the following technical effects: the present application provides a three-dimensional slope deformation monitoring method, device and equipment based on remote sensing technology. According to optical images and digital elevation model (DEM) data, the optical flow tracing method is used to calculate the plane deformation data of the target slope. According to synthetic aperture radar (SAR) images, the synthetic aperture radar interferometry technology is used to calculate the vertical deformation data of the target slope. According to the plane deformation data and the vertical deformation data, a data fusion algorithm is used to construct the three-dimensional deformation field of the target slope. The present application combines the optical flow tracing method and the synthetic aperture radar interferometry technology to overcome the problem that a single means cannot reflect the full picture of the disaster, and comprehensively and accurately realizes the monitoring of the three-dimensional deformation information of the slope, providing reliable data support for slope stability assessment, disaster warning and later engineering optimization, and has broad application prospects and important practical significance. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 This is an application environment diagram of a three-dimensional slope deformation monitoring method based on remote sensing technology in one embodiment of the present application.

[0019] Figure 2 A schematic flow chart of a method for monitoring three-dimensional slope deformation based on remote sensing technology provided in one embodiment of the present application.

[0020] Figure 3 A schematic diagram of an optical image at a first moment provided by an embodiment of the present application.

[0021] Figure 4 A schematic diagram of an optical image at a second moment provided by an embodiment of the present application.

[0022] Figure 5 A schematic diagram of displacement monitoring results provided in an embodiment of the present application.

[0023] Figure 6 A schematic diagram of the interferometric radar vertical monitoring process provided in one embodiment of the present application.

[0024] Figure 7 A schematic diagram of a three-dimensional deformation field construction process provided in an embodiment of the present application.

[0025] Figure 8 A schematic diagram of functional modules of a three-dimensional slope deformation monitoring device based on remote sensing technology provided in another embodiment of the present application.

[0026] Fig. 9 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0028] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0029] In the context that single-point monitoring cannot effectively capture the overall deformation trend of large-area slopes, satellite remote sensing technology, with its macroscopic and high-precision detection capabilities, provides important support for the rapid and comprehensive investigation of geological disasters. Optical remote sensing technology can obtain two-dimensional plane deformation fields through the method of tracking the offset of homonymous points through rich color and texture information. It is suitable for plane deformation monitoring in large areas, but it still has certain limitations in obtaining vertical displacement. On the other hand, synthetic aperture radar interferometry (InSAR) can accurately detect millimeter-level surface deformation information in the direction of radar line of sight. By converting the incident angle, it can effectively extract vertical deformation information, which is suitable for long-term deformation tracing research. However, InSAR technology is not sensitive enough to deformation in the north direction, which limits the application scope of this technology in the field of slope monitoring.

[0030] It can be seen that optical remote sensing and InSAR technology each have their own advantages. Optical remote sensing performs outstandingly in plane deformation monitoring, while InSAR technology has advantages in deformation detection in the vertical direction. In order to more comprehensively reveal the three-dimensional deformation characteristics of the slope and improve the monitoring accuracy, it is particularly necessary to combine the integrated application of optical remote sensing and InSAR technology. Through the complementary advantages of the two technologies, the three-dimensional deformation information of the slope can be obtained comprehensively and accurately, thereby providing more powerful support for the early warning and control of geological disasters. Therefore, the embodiments of the present application provide a three-dimensional deformation monitoring method, device and equipment for slopes based on remote sensing technology, which can comprehensively and accurately monitor the three-dimensional deformation information of slopes.

[0031] The three-dimensional slope deformation monitoring method based on remote sensing technology provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be set up separately, integrated on the server 104, or placed on the cloud or other servers. The terminal 102 can send the remote sensing image and digital elevation model data of the target slope to the server 104. After the server 104 receives the remote sensing image and digital elevation model data of the target slope, for the remote sensing image and digital elevation model data of the target slope, the server 104 uses the optical flow tracking method to calculate the plane deformation data of the target slope based on the optical image and the digital elevation model data; the plane deformation data includes: plane deformation displacement and plane deformation displacement direction; according to the synthetic aperture radar image, the synthetic aperture radar interference technology is used to calculate the vertical deformation data of the target slope; the vertical deformation data includes: vertical deformation displacement; according to the plane deformation data and the vertical deformation data, the data fusion algorithm is used to construct the three-dimensional deformation field of the target slope.

[0032] The server 104 can feed back the obtained three-dimensional deformation field of the target slope to the terminal 102. In addition, in some embodiments, the three-dimensional deformation monitoring method of the slope based on remote sensing technology can also be implemented by the server 104 or the terminal 102 alone, such as the terminal 102 can directly process the remote sensing image and digital elevation model data of the target slope, or the server 104 can obtain the remote sensing image and digital elevation model data of the target slope from the data storage system and process the remote sensing image and digital elevation model data of the target slope.

[0033] The terminal 102 may be, but is not limited to, various desktop computers, laptop computers, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart vehicle-mounted devices, etc. The portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers, or may be a cloud server.

[0034] In an exemplary embodiment, Figure 2 As shown, a method for monitoring three-dimensional slope deformation based on remote sensing technology is provided. The method is executed by a computer device, and can be executed by a computer device such as a terminal or a server alone, or can be executed by a terminal and a server together. In the embodiment of the present application, the method is applied to Figure 1 The server 104 in the example is used for explanation, and the steps include the following steps 201 to 204.

[0035] Step 201, obtaining remote sensing images and digital elevation model data of the target slope.

[0036] The remote sensing images include optical images and synthetic aperture radar images.

[0037] Step 202: Calculate the plane deformation data of the target slope using an optical flow tracing method according to the optical image and the digital elevation model data.

[0038] The plane deformation data includes: plane deformation displacement and plane deformation displacement direction.

[0039] Step 203: Calculate the vertical deformation data of the target slope using synthetic aperture radar interferometry technology based on the synthetic aperture radar image.

[0040] Wherein, the vertical deformation data includes: vertical deformation displacement.

[0041] Step 204: constructing a three-dimensional deformation field of the target slope using a data fusion algorithm based on the plane deformation data and the vertical deformation data.

[0042] The implementation of the above steps 201 to 204 can fully and accurately monitor the three-dimensional deformation information of the slope.

[0043] In another exemplary embodiment of the present application, step 201 specifically includes the following steps.

[0044] (1) Obtain the initial optical image, initial synthetic aperture radar image, and digital elevation model data of the target slope, and ensure that the spatial resolution and temporal resolution of the image meet the monitoring requirements. The synthetic aperture radar image includes the ascending and descending orbit data of the same period.

[0045] (2) Performing a first preprocessing operation on the initial optical image to obtain a processed optical image to ensure the accuracy of subsequent analysis. The first preprocessing operation includes: image registration, denoising and geometric correction. Among them, image registration: ; Wherein, R is the registered optical image, T is the transformation matrix, and S is the initial optical image.

[0046] (3) Performing a second preprocessing operation on the initial synthetic aperture radar image to obtain a processed synthetic aperture radar image to ensure the accuracy of subsequent analysis. The second preprocessing operation includes: multi-view processing and terrain correction. Among them, terrain correction: ; is the processed synthetic aperture radar image. is the synthetic aperture radar image after multi-view processing, The geometric distortion caused by the terrain.

[0047] (4) Determine the final remote sensing image of the target slope based on the processed optical image and the processed synthetic aperture radar image.

[0048] In another exemplary embodiment of the present application, step 202 specifically includes the following steps.

[0049] (1) The optical image is identified using an optical flow tracing method to determine the north-south displacement and the east-west displacement of the target slope.

[0050] Among them, the optical flow equation used in the optical flow tracing method is as follows.

[0051] .

[0052] in, Indicates at location and the pixel intensity value at time t; Indicates north-south direction; Indicates east-west direction; represents north-south displacement; represents the east-west displacement; Δt represents the monitoring time interval.

[0053] (2) Calculating the plane deformation displacement and the initial plane deformation displacement direction according to the north-south displacement and the east-west displacement.

[0054] ①Construct a two-dimensional plane deformation field.

[0055] Two-dimensional plane deformation field formula: ; is the displacement field vector.

[0056] The calculation formula of plane deformation displacement is: ; Represents the plane deformation displacement.

[0057] The calculation formula for the initial plane deformation displacement direction is: ;in, represents the initial plane deformation displacement direction; It means partial derivative.

[0058] (3) Determine slope data based on the digital elevation model data.

[0059] Theoretically, unstable slopes are mostly controlled by topography and move in the direction where the gravity gradient decreases fastest, that is, the slope direction. Therefore, the slope data obtained from the digital elevation model data is used as a basis for comparing and verifying the calculated plane deformation displacement direction to eliminate gross errors.

[0060] (4) Calculate the difference between the initial plane deformation displacement direction and the slope data, mask the initial plane deformation displacement direction whose difference exceeds the set threshold, and obtain the final plane deformation displacement direction, that is, when the calculated initial plane deformation displacement direction The difference with the slope data does not exceed the set threshold , retain the calculation results.

[0061] (5) Construct plane deformation data based on the plane deformation displacement and the final plane deformation displacement direction.

[0062] The principle of using optical flow tracing to determine plane deformation data is as follows: Figure 3 , Figure 4 and Figure 5 shown. Figure 3 shows the optical image at the first moment, Figure 4 The optical image at the second moment is shown, and the monitoring time interval between the first moment and the second moment is Δt. Figure 4The arrow in represents the deformation direction, and pix represents pixel. Figure 4 It can be seen that the deformation is at the pixel level, and the actual deformation = pixel deformation × spatial resolution. Figure 5 From top to bottom, the displacement monitoring results obtained using different calculation window sizes (8×8, 32×32, 64×64) are shown. The first line is the displacement monitoring results of the calculation window size of 8×8, the second line is the displacement monitoring results of the calculation window size of 32×32, and the third line is the displacement monitoring results of the calculation window size of 64×64. The first column is the east-west displacement field, and the second column is the north-south displacement field. Figure 5 It can be seen that as the calculation window size increases, the noise of the monitoring results gradually decreases.

[0063] In another exemplary embodiment of the present application, the synthetic aperture radar image includes ascending orbit data and / or descending orbit data.

[0064] When the synthetic aperture radar image includes ascending orbit data or descending orbit data, step 203 specifically includes: performing interference processing on the synthetic aperture radar image to obtain a synthetic aperture radar image deformation phase difference; and obtaining a vertical deformation displacement of the target slope according to the synthetic aperture radar image deformation phase difference.

[0065] In order to increase the reliability of the result, the synthetic aperture radar image may include ascending orbit data and descending orbit data, and the vertical deformation displacement of the target slope is obtained by weighted fusion of the results of the two types of data. Based on this, step 203 specifically includes the following steps.

[0066] (1) Aligning and resampling the ascending orbit data and the descending orbit data in the synthetic aperture radar image to obtain resampled ascending orbit data and resampled descending orbit data. Specifically, to ensure the consistency between the ascending orbit data and the descending orbit data, the least square method is used for alignment.

[0067] (2) The resampled ascending data and the resampled descending data are interferometrically processed to obtain the deformation phase difference of the ascending data and the deformation phase difference of the descending data.

[0068] Specifically, the phase difference is differentiated between the resampled ascending orbit data and the resampled descending orbit data to remove irrelevant phase interference and obtain the deformation phase difference. The calculation formula is: ;in, is the deformation phase difference, is the total phase difference, is the atmospheric delay error.

[0069] (3) Performing data fusion and reprojection according to the deformation phase difference of the ascending orbit data and the deformation phase difference of the descending orbit data to obtain the vertical deformation displacement of the target slope.

[0070] Specifically, the weighted average method is used for optimization, and the calculation formula for the vertical deformation displacement of the target slope is as follows.

[0071] .

[0072] .

[0073] .

[0074] in, It represents the vertical deformation displacement of the target slope, that is, the weighted vertical deformation displacement; Indicates the vertical deformation displacement corresponding to the orbit raising data; Indicates the vertical deformation displacement corresponding to the descending orbit data; Indicates the weight coefficient corresponding to the orbit raising data; Indicates the weight coefficient corresponding to the descending orbit data; Indicates the deformation phase difference of orbit raising data; Indicates the deformation phase difference of descending orbit data; Indicates the radar wavelength.

[0075] Interferometric radar vertical monitoring process Figure 6 shown. Figure 6 The figure shows that in the same geographical area, the same area is imaged using synthetic aperture radar images including ascending orbit data A and descending orbit data B. The phase difference between ascending orbit data A and descending orbit data B can be used to calculate the deformation of the surface. Figure 6 The direction of the vertical deformation displacement C is shown in Figure 1. Vertical deformation displacement C: Radar waves will be affected by changes in the height of the ground D, especially changes in the vertical direction (such as ground sinking or rising). This change causes the signal reflected by the radar wave to change. By comparing the phase difference between the ascending orbit data A and the descending orbit data B, the vertical deformation displacement C can be obtained. Figure 4 The monitoring point P in the middle is the position before deformation, the monitoring point P' is the position after deformation, and the height difference between the two is the vertical deformation displacement C. The undulating solid line is the ground before deformation, the dotted line is the ground after deformation, and F is the level surface.

[0076] In another exemplary embodiment of the present application, step 204 specifically includes the following steps.

[0077] (1) The planar deformation data and the vertical deformation data are spatially registered and resampled to obtain resampled planar deformation data and resampled vertical deformation data.

[0078] (2) Based on the resampled plane deformation data and the resampled vertical deformation data, a data fusion algorithm is used to construct the three-dimensional deformation field of the target slope. Specifically, the calculation formula is as follows.

[0079] .

[0080] .

[0081] represents the three-dimensional deformation field, that is, the three-dimensional deformation vector; It represents the modulus of the three-dimensional deformation vector, that is, the absolute value of the three-dimensional deformation displacement.

[0082] In another exemplary embodiment of the present application, please refer to Figure 2 The three-dimensional slope deformation monitoring method based on remote sensing technology also includes the following steps.

[0083] Step 205: Calculate the deformation rate of the target slope according to the three-dimensional deformation field.

[0084] Specifically, the three-dimensional deformation field is compared with the existing engineering design and construction data, and the deformation rate analysis formula is used. Calculate the deformation rate, where represents the deformation rate, is the three-dimensional deformation at time t.

[0085] Step 206: Perform deformation warning according to the deformation rate.

[0086] Specifically, when the deformation rate When the deformation rate exceeds the set warning value, a warning is issued.

[0087] In another exemplary embodiment of the present application, after the three-dimensional deformation field is obtained in step 204, the present embodiment can also perform subsequent deformation analysis in combination with geological data of the engineering area where the target slope is located.

[0088] Specifically, collect geological survey data of the engineering area where the target slope is located, which includes basic information such as rock and soil type, groundwater level, and crack distribution; obtain environmental meteorological data related to the engineering area where the target slope is located, which includes precipitation, temperature, wind speed, etc.; construct geological data based on geological survey data and environmental meteorological data as a reference for subsequent deformation analysis.

[0089] In practical applications, an implementation process of the three-dimensional slope deformation monitoring method based on remote sensing technology in the above embodiment is: first, by collecting long-time high-resolution optical images, the plane deformation data is obtained based on the optical flow tracking method. Secondly, synthetic aperture radar images including ascending orbit data and descending orbit data are selected to carry out deformation solution processing, and the vertical deformation data is obtained in combination with the radar incident angle. Finally, the three-dimensional deformation field is constructed by integrating the monitoring results of optical and radar data to reveal the position and movement law of the deformation area. The specific process is as follows.

[0090] 1) Obtain geological data, optical images, synthetic aperture radar images and digital elevation model data of the project area where the target slope is located.

[0091] 2) Planar deformation and displacement monitoring based on optical images: Use the high-resolution optical images obtained in step 1) to monitor plane terrain changes and extract surface change information.

[0092] ① The optical flow tracing method is used to analyze the plane deformation between images of the same location at different times, and the north-south and east-west displacements of the slope are identified.

[0093] ② Based on the north-south displacement and east-west displacement fields, construct the two-dimensional plane deformation field and deformation direction.

[0094] ③ Generate slope data based on digital elevation model data, compare deformation direction and slope data, mask the results that exceed the set threshold, and retain high-reliability results.

[0095] 3) Use interferometric radar technology to monitor vertical deformation: Use the synthetic aperture radar image obtained in step 1) to detect the vertical deformation of the surface based on synthetic aperture radar interferometry technology.

[0096] ① The ascending and descending data of the same area are registered and resampled to ensure the geometric consistency of the images, and the interference difference between the two-track data is used to calculate the vertical deformation.

[0097] ②By interfering the ascending and descending data respectively, the phase difference between the two data sets is calculated, and the weights are set for fusion and reprojection to obtain the vertical deformation information of the slope.

[0098] 4) Integrate optical and radar monitoring results to construct a three-dimensional deformation field.

[0099] ① Spatially align the planar deformation data of the optical image with the vertical deformation data of the radar image, and resample them to the same spatial resolution to ensure the accurate docking of the two data. Specifically, the nearest neighbor interpolation method is used for resampling to ensure the consistency of spatial resolution.

[0100] ② Based on the plane deformation data and vertical deformation data, a data fusion algorithm is used to construct a three-dimensional deformation model of the slope to obtain a complete three-dimensional deformation field and deformation direction.

[0101] ③ Compare and analyze the three-dimensional deformation monitoring results with the existing engineering design and construction data to provide support for subsequent slope stability assessment and disaster prediction.

[0102] The construction process of the three-dimensional deformation field is as follows: Figure 7 As shown, Figure 7 In the figure, the X-axis and Y-axis represent the plane deformation data OL extracted from the optical image. Through the processing of optical images (such as optical flow tracking, change detection, etc.), the horizontal displacement information (north-south, east-west) of the surface such as the slope can be extracted. The displacement field of the plane deformation can be represented by two-dimensional data, that is, Figure 7 The Z axis is perpendicular to the ground, and the displacement of the target slope in the vertical direction (such as rising or sinking) is obtained by interferometric processing of the synthetic aperture radar image, that is, the vertical deformation data OM. The optical image provides the plane deformation data OL of the surface, and the synthetic aperture radar image provides the vertical deformation data OM. The combination of the two can construct a complete three-dimensional deformation field. Figure 7 The three-dimensional deformation data ON in the three-dimensional deformation field is shown.

[0103] The three-dimensional deformation monitoring method of slopes based on remote sensing technology in this embodiment, firstly, plane deformation monitoring is performed through high-resolution optical images, which can accurately identify the horizontal displacement of the slope and provide detailed plane deformation data; secondly, by using interferometric radar technology, combined with ascending and descending data, vertical deformation data can be accurately obtained, overcoming the limitations brought by a single observation angle, thereby greatly improving the accuracy of vertical deformation monitoring; finally, through the fusion of optical and radar monitoring data, a complete three-dimensional deformation field is constructed, which can comprehensively analyze the deformation characteristics of the slope and provide more accurate and comprehensive geological disaster monitoring and risk assessment support for engineering projects. This method not only improves the monitoring accuracy, but also provides reliable data support for slope stability assessment, disaster warning and later engineering optimization, and has broad application prospects and important practical significance.

[0104] Based on the same inventive concept, the embodiment of the present application also provides a three-dimensional slope deformation monitoring device based on remote sensing technology for implementing the three-dimensional slope deformation monitoring method based on remote sensing technology involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the three-dimensional slope deformation monitoring device based on remote sensing technology provided below can refer to the limitations of the three-dimensional slope deformation monitoring method based on remote sensing technology above, and will not be repeated here.

[0105] In an exemplary embodiment, Figure 8 As shown, a three-dimensional slope deformation monitoring device based on remote sensing technology is provided, which includes the following modules.

[0106] The data acquisition module 801 is used to acquire remote sensing images and digital elevation model data of the target slope; the remote sensing images include: optical images and synthetic aperture radar images.

[0107] The plane deformation data calculation module 802 is used to calculate the plane deformation data of the target slope by using the optical flow tracing method according to the optical image and the digital elevation model data; the plane deformation data includes: plane deformation displacement and plane deformation displacement direction.

[0108] The vertical deformation data calculation module 803 is used to calculate the vertical deformation data of the target slope according to the synthetic aperture radar image by using synthetic aperture radar interferometry technology; the vertical deformation data includes: vertical deformation displacement.

[0109] The three-dimensional deformation field construction module 804 is used to construct the three-dimensional deformation field of the target slope by using a data fusion algorithm according to the plane deformation data and the vertical deformation data.

[0110] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Fig. 9 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store remote sensing images and digital elevation model data of the target slope. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a three-dimensional slope deformation monitoring method based on remote sensing technology is implemented.

[0111] Those skilled in the art will understand that Fig. 9The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components. In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0112] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0113] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0114] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0115] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0116] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, etc., but is not limited thereto.

[0117] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0118] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A three-dimensional slope deformation monitoring method based on remote sensing technology, characterized in that: The three-dimensional slope deformation monitoring method based on remote sensing technology includes: Acquire remote sensing images and digital elevation model data of the target slope; the remote sensing images include: optical images and synthetic aperture radar images; According to the optical image and the digital elevation model data, the plane deformation data of the target slope is calculated by using the optical flow tracking method; the plane deformation data includes: plane deformation displacement and plane deformation displacement direction; According to the synthetic aperture radar image, the vertical deformation data of the target slope is calculated by using synthetic aperture radar interferometry technology; the vertical deformation data includes: vertical deformation displacement; A three-dimensional deformation field of the target slope is constructed using a data fusion algorithm according to the plane deformation data and the vertical deformation data.

2. The method for monitoring three-dimensional slope deformation based on remote sensing technology according to claim 1 is characterized in that: After constructing the three-dimensional deformation field of the target slope by using a data fusion algorithm according to the plane deformation data and the vertical deformation data, the three-dimensional deformation monitoring method of the slope based on remote sensing technology further includes: Calculating the deformation rate of the target slope according to the three-dimensional deformation field; A deformation warning is performed according to the deformation rate.

3. The method for monitoring three-dimensional slope deformation based on remote sensing technology according to claim 1 is characterized in that: Obtain remote sensing images and digital elevation model data of the target slope, including: Obtain the initial optical image and initial synthetic aperture radar image of the target slope; Obtain digital elevation model data of the target slope; Performing a first preprocessing operation on the initial optical image to obtain a processed optical image; the first preprocessing operation includes: image registration, denoising and geometric correction; Performing a second preprocessing operation on the initial synthetic aperture radar image to obtain a processed synthetic aperture radar image; the second preprocessing operation includes: multi-view processing and terrain correction; The final remote sensing image of the target slope is determined based on the processed optical image and the processed synthetic aperture radar image.

4. The method for monitoring three-dimensional slope deformation based on remote sensing technology according to claim 1 is characterized in that: According to the optical image and the digital elevation model data, the plane deformation data of the target slope is calculated by using the optical flow tracing method, which specifically includes: The optical image is identified by using an optical flow tracking method to determine the north-south displacement and the east-west displacement of the target slope; Calculating the plane deformation displacement and the initial plane deformation displacement direction according to the north-south displacement and the east-west displacement; determining slope data according to the digital elevation model data; Calculating the difference between the initial plane deformation displacement direction and the slope data, masking the initial plane deformation displacement direction whose difference exceeds a set threshold, and obtaining the final plane deformation displacement direction; Plane deformation data is constructed according to the plane deformation displacement and the final plane deformation displacement direction.

5. The method for monitoring three-dimensional slope deformation based on remote sensing technology according to claim 1 is characterized in that: The synthetic aperture radar image includes ascending orbit data and descending orbit data; According to the synthetic aperture radar image, the vertical deformation data of the target slope is calculated by using synthetic aperture radar interferometry technology, which specifically includes: Registering and resampling the ascending orbit data and the descending orbit data in the synthetic aperture radar image to obtain the resampled ascending orbit data and the resampled descending orbit data; The resampled orbit ascending data and the resampled orbit descending data are subjected to interference processing respectively to obtain the orbit ascending data deformation phase difference and the orbit descending data deformation phase difference; Data fusion and reprojection are performed according to the deformation phase difference of the ascending orbit data and the deformation phase difference of the descending orbit data to obtain the vertical deformation displacement of the target slope.

6. The method for monitoring three-dimensional slope deformation based on remote sensing technology according to claim 1 is characterized in that: According to the plane deformation data and the vertical deformation data, a data fusion algorithm is used to construct a three-dimensional deformation field of the target slope, which specifically includes: Performing spatial registration and resampling on the planar deformation data and the vertical deformation data to obtain resampled planar deformation data and resampled vertical deformation data; According to the resampled plane deformation data and the resampled vertical deformation data, a data fusion algorithm is adopted to construct the three-dimensional deformation field of the target slope.

7. The method for monitoring three-dimensional slope deformation based on remote sensing technology according to claim 5 is characterized in that: The calculation formula of the vertical deformation displacement of the target slope is: ； ； ； in, Represents the vertical deformation displacement of the target slope; Indicates the vertical deformation displacement corresponding to the orbit raising data; Indicates the vertical deformation displacement corresponding to the descending orbit data; Indicates the weight coefficient corresponding to the orbit raising data; Indicates the weight coefficient corresponding to the descending orbit data; Indicates the deformation phase difference of orbit raising data; Indicates the deformation phase difference of descending orbit data; Indicates the radar wavelength.

8. The method for monitoring three-dimensional slope deformation based on remote sensing technology according to claim 4 is characterized in that: The calculation formula for the initial plane deformation displacement direction is: ； in, represents the initial plane deformation displacement direction; represents north-south displacement; represents east-west displacement; Indicates north-south direction; Indicates east-west direction; It means partial derivative.

9. A three-dimensional slope deformation monitoring device based on remote sensing technology, characterized in that: The three-dimensional slope deformation monitoring device based on remote sensing technology includes: A data acquisition module is used to acquire remote sensing images and digital elevation model data of the target slope; the remote sensing images include: optical images and synthetic aperture radar images; A plane deformation data calculation module is used to calculate the plane deformation data of the target slope by using an optical flow tracing method according to the optical image and the digital elevation model data; the plane deformation data includes: plane deformation displacement and plane deformation displacement direction; A vertical deformation data calculation module is used to calculate the vertical deformation data of the target slope according to the synthetic aperture radar image by using synthetic aperture radar interferometry technology; the vertical deformation data includes: vertical deformation displacement; The three-dimensional deformation field construction module is used to construct the three-dimensional deformation field of the target slope by using a data fusion algorithm according to the plane deformation data and the vertical deformation data.

10. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the three-dimensional slope deformation monitoring method based on remote sensing technology as described in any one of claims 1 to 8.

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