Robust ground subsidence monitoring method based on radar distributed target

Abstract

The invention discloses a robust ground subsidence monitoring method based on a radar distributed target. The method comprises a step of obtaining an SAR time sequence image, identifying DS candidatepoints, constructing a covariance matrix, estimating an optimal phase value of the covariance matrix, determining a final DS point target, obtaining a PS point target, and determining a final deformation rate and a time sequence deformation sequence, calculating and selecting an appropriate DS point target through a KS test method, establishing the covariance matrix to count interference phase andcoherence coefficient information, extracting a same distribution target and estimating related parameters, a step of estimating an optimal phase by extracting the phase of a feature vector corresponding to a maximum feature value from the established covariance matrix, a step of detecting the overall fitting degree of a regression equation according to the goodness of fit, wherein the overall fitting degree is used for determining the final DS point target, and a step of finally, performing sequential InSAR processing in combination with the PS point target. The ground subsidence can be better and accurately predicted, and the algorithm is stable and reliable.

Description

technical field [0001] The invention belongs to the technical field of urban geological disaster prediction, and in particular relates to a robust ground subsidence monitoring method based on radar distributed targets. Background technique [0002] Land subsidence is a geological phenomenon in which the surface elevation slowly decreases under the joint action of natural factors and human factors. It is a permanent loss of environment and resources that is difficult to compensate, and can induce a series of other environmental disasters. Its formation process is slow, which makes it difficult to be detected in a short period of time, and a small amount of subsidence requires precision instruments to be discovered, which is easy to be ignored by people. In many cases, land subsidence occurs in densely populated and industrially developed cities. extensive, serious damage, and the settlement process is irreversible. [0003] In recent years, the time-series InSAR method has a...

AI Technical Summary

Problems solved by technology

[0005] However, SqueeSAR needs to iterate to solve the nonlinear optimal phase, which seriously affects the operation efficiency

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