An InSAR non-uniform phase correction method and system based on coherence matrix guidance, a terminal and a storage medium

By using an InSAR non-uniform phase correction method guided by the coherence matrix and predicting the closed phase using the ViT model, the low accuracy problem caused by phase deviation in InSAR technology is solved, and higher accuracy surface deformation and displacement monitoring is achieved.

CN121918079BActive Publication Date: 2026-06-05GUANGDONG LAB OF ARTIFICIAL INTELLIGENCE & DIGITAL ECONOMY (SZ)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGDONG LAB OF ARTIFICIAL INTELLIGENCE & DIGITAL ECONOMY (SZ)
Filing Date
2026-03-25
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

While existing InSAR technology can reduce phase noise in interferograms in multi-view technology, it introduces phase deviation, resulting in low accuracy of synthetic aperture radar interferometry, which cannot meet the needs of monitoring surface deformation and displacement.

Method used

A coherence matrix-guided InSAR non-consistent phase correction method is adopted. By acquiring land cover category data, a symmetric phase matrix and a symmetric coherence time matrix are calculated to construct a target dataset. The ViT model is used to establish a nonlinear relationship between the coherence time matrix and the closed phase, and the closed phase is directly predicted to reconstruct phase consistency.

Benefits of technology

It improves the accuracy and efficiency of surface deformation and displacement testing, reduces errors introduced by closed phase, and enhances the accuracy of InSAR measurements.

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Abstract

The application belongs to the technical field of data processing, and discloses an InSAR non-uniform phase correction method and system based on a coherence matrix guide, a terminal and a storage medium, the method comprising: obtaining ground object category data of a target research area, and calculating a symmetric phase matrix and a symmetric coherence time matrix according to the ground object category data; performing phase reconstruction processing on the symmetric phase matrix to obtain a target closed phase, and constructing a target data set according to the target closed phase and the symmetric coherence time matrix; determining a preset model, and performing model training and model optimization on the preset model according to the target data set to obtain a surface deformation displacement test model; obtaining target ground object category data of a target test area, inputting the target ground object category data into the surface deformation displacement test model, and obtaining a target surface deformation displacement test result. The surface deformation displacement test model is constructed, and the test efficiency and test accuracy of the surface deformation displacement test result can be effectively improved.
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