Three-dimensional time-series deformation monitoring method based on fusion of SAR data from different platforms and orbits

Abstract

The present invention provides a three-dimensional time-series deformation monitoring method that integrates different platforms and track SAR data, including the following steps: the first step is to select multi-time domain high-resolution SAR images of different platforms whose interference effect meets the requirements for three-dimensional deformation monitoring in the power facility area ; The second step is to extract the public permanent scatterer points in the power facility area on each platform, build a three-dimensional deformation observation network, and solve the deformation difference of the LOS direction of the observation arc on each SAR image; the third step: according to the deformation model , the imaging time of each platform, and the imaging interference combination of each platform, using a dynamic adaptive filtering algorithm, integrating the 3D deformation observation network at different imaging times, and calculating the dynamic 3D time-series deformation. The invention integrates data from different platforms and orbits, and overcomes the problem that InSAR deformation monitoring is only sensitive to deformation in the LOS direction.

Description

technical field [0001] The invention relates to the technical field of geodesy of remote sensing images, in particular to a three-dimensional time-series deformation monitoring method for fusing SAR data of different platforms and orbits. Background technique [0002] At present, the deformation monitoring methods of power facilities are mainly level and GPS measurement. However, these traditional methods not only consume a lot of manpower and material resources, but also have obvious technical defects: the level and GPS measurement are the results of point targets, and the results are relatively sparse. , it will be difficult to detect some relatively hidden disasters with no obvious deformation characteristics, making it difficult to monitor some power facilities distributed in the wilderness. In addition, most of the power facilities are distributed in the open field, and the working environment is relatively harsh. The occurrence of geological disasters will cause great ...

AI Technical Summary

Problems solved by technology

[0002] At present, the deformation monitoring methods of power facilities are mainly level and GPS measurement. However, these traditional methods not only consume a lot of manpower and material resources, but also have obvious technical defects: the level and GPS measurement are the results of point targets, and the results are relatively sparse. , it will be difficult to detect some relatively hidden disasters with no obvious deformation characteristics, making it difficult to monitor some power facilities distributed in the wilderness

Therefore, the traditional InSAR technology will not be able to detect and treat some hidden geological disasters early, which will cause huge damage to power facilities and cause huge losses to power companies

In addition, the current main InSAR 3D deformation monitoring methods are basically focused on static 3D deformation monitoring, so long-term effective monitoring of some geological disasters dominated by slow deformation will not be possible.

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