Deformation monitoring method of foundation SAR in time decorrelation serious area

Abstract

The invention relates to a deformation monitoring method of a foundation SAR in a time decorrelation serious area. The method comprises the specific steps of S1 permanent scatterer point selection, S2 triangular mesh generation, S3 space-time three-dimensional phase position untwisting, S4 atmosphere phase compensation, S5 deformation inversion and S6 isolated PS point corresponding deformation quantity removal. The step S1 comprises the specific step that amplitude deviation screening, amplitude threshold screening and phase information screening are conducted respectively. By the adoption of the method, based on a traditional PS point selection amplitude deviation method, amplitude threshold screening and phase information screening are added so that PS points with higher quality can be extracted, and therefore deformation monitoring has higher accuracy.

Description

technical field [0001] The invention belongs to the technical field of synthetic aperture radar, and in particular relates to a deformation monitoring method of a ground-based SAR in a severe time decorrelation area. Background technique [0002] Deformation detection has important applications in structural engineering and long-span engineering such as bridges, towers, dams and other construction fields, and it is also widely used in scenarios such as landslides and avalanche warnings. [0003] Ground-based SAR, due to its flexible configuration, easy transportation, and short revisit cycle, can monitor the deformation of targets for a long time in different scenarios. In the actual process, firstly, the radar sensor is placed on the precision slide rail, and the fixed time is used as the cycle to move at a constant speed and completely repetitively to form a synthetic aperture; then, by analyzing the phase data of the target point in the long-term sequence, To obtain its ...

AI Technical Summary

Problems solved by technology

The step of atmospheric phase compensation is mainly to select the PS points without deformation, and estimate the [A n ,B n ] two parameters, but because some PS points actually have deformation, so directly estimating these two parameters at one time may bring a large error, especially in the area where time decorrelation is serious, and the distribution of PS points is relatively uneven the case

[0011] Therefore, in areas where time decorrelation is serious, the performance of the traditional PS algorithm is reduced, and it is no longer able to accurately monitor the deformation

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