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Data post-processing method and system for dam and landslide deformation GB-SAR monitoring

A GB-SAR, data technology, applied in image data processing, geometric CAD, 3D modeling, etc., can solve problems such as difficulties, lack of post-processing technology research on dam and landslide monitoring data, and post-processing of long-term sequence data. , to reduce the difficulty, overcome the difficulty of atmospheric phase correction and phase unwrapping, and eliminate the atmospheric disturbance part

Pending Publication Date: 2021-04-20
SICHUAN UNIV
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AI Technical Summary

Problems solved by technology

In terms of GB-SAR data post-processing technology, domestic research mainly focuses on the verification of the technical performance and reliability, and there are few systematic research and analysis on long-time series data post-processing. In terms of data processing technology, when processing long-term data, only a mathematical model between the monitoring data and the deformation is proposed, and it does not involve further processing of the data estimated according to the model, let alone the post-processing of the monitoring data of dams and landslides. Systematic and complete research on processing technology
At the same time, there are great difficulties in applying the least squares indirect adjustment method to the field of GB-SAR data post-processing

Method used

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  • Data post-processing method and system for dam and landslide deformation GB-SAR monitoring
  • Data post-processing method and system for dam and landslide deformation GB-SAR monitoring
  • Data post-processing method and system for dam and landslide deformation GB-SAR monitoring

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Embodiment 1

[0081] Taking the GB-SAR low-frequency and long-period monitoring data of GY arch dam deformation as an example, according to the factors that cause observation interruptions such as weather during monitoring, at the same time, in order to improve data processing efficiency, effectively control time loss correlation, and ensure that each sub-set The time base between the images is relatively small and the meteorological parameters are relatively stable. The 945 images of the dam body with good quality (after preprocessing such as interference image generation and low-quality image elimination, the 954 images of the dam area represented by the plane Cartesian coordinate system are obtained. Interferometric images, such as figure 2shown) is set to 38 image subsets, and the longest time baseline inside the subset is about 3h. When the image subset was established, it was found that the temperature changes around noon are more drastic, and it reaches a peak around 12:00 noon, cor...

specific Embodiment approach

[0164] Based on the PS network, the obtained 4289 PS points, 14433 baselines and 9617 triangles are used to construct the PS point differential phase model, and the initial value of the differential phase is determined by parameter estimation. There are 14433 baselines in each image of the dam at different times, corresponding to 14433 differential interferometric phase equations as shown in formula (2), and each equation consists of 37 equations. Therefore, the post-processing data matrix of the arch dam consists of 14433 dimensions in space and 37 dimensions in time. By estimating the parameters of the model in the triangular network, the linear deformation rate increment Δv of each baseline in the triangular network can be obtained. However, the absolute deformation rate of the PS points at both ends of each baseline cannot be directly obtained through the linear deformation rate increment of each baseline, and the absolute elevations of the remaining points can only be obt...

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Abstract

A data post-processing method for dam and landslide deformation GBSAR monitoring comprises the steps of obtaining N monitoring image subsets, processing the interiors of the image subsets, and obtaining N average images; taking one average image as a main image and the rest N1 average images as slave images to carry out interference processing to obtain N1 interference images; selecting a PS point, and establishing a Delaunay triangulation network; carrying out differential phase modeling and parameter estimation on each PS point; calculating according to the estimated linear deformation rate increment and residual phase increment to obtain linear deformation and nonlinear deformation corresponding to each PS point; and adding the linear deformation amount and the nonlinear deformation amount to obtain an overall deformation amount, and obtaining a dense deformation field of the whole monitoring object in a global range by adopting an interpolation mode. The data post-processing method provided by the invention solves the data analysis problems of long long-period monitoring time baseline and large information amount of dams and landslides, and is good in adaptability and high in precision in global space deformation monitoring information analysis.

Description

technical field [0001] The invention relates to the field of external deformation monitoring and data processing of dams and landslides, in particular to a data post-processing method and system for GB-SAR monitoring of deformations of dams and landslides. Background technique [0002] The working principle of GB-SAR is similar to that of spaceborne SAR, and its data processing technology and method can be adjusted and improved on the basis of spaceborne SAR according to its own characteristics, forming a series of data processing technologies suitable for GB-SAR. [0003] At present, there are many researches on post-processing methods of spaceborne SAR data, mainly including LS (Least least square method), PS (Permanent satterer permanent scatterer) method, SBAS (Small baelie set, small baseline set) method and CT (Coherent target, related target method) method, etc. [0004] From 1999 to 2000, Usai conducted a detailed study on the SAR interferometric coherence character...

Claims

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Application Information

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IPC IPC(8): G06F30/13G06T17/05
Inventor 项霞陈辰刘超聂锐化王辉鲁恒刘铁刚陈建康杨正丽
Owner SICHUAN UNIV
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