Road surface subsidence early warning method and system based on time-series insar

Abstract

The present application belongs to the technical field of synthetic aperture radar measurement, and particularly relates to a highway along surface subsidence early warning method and system based on time series InSAR, which comprises the following steps: acquiring remote sensing image sequences and synchronous meteorological data of a monitoring area, generating time series differential phase sequences and air temperature difference sequences of each candidate scattering point, calculating the relative phase temperature sensitive coefficient between candidate scattering point pairs with physical adjacent relationship, thermodynamically stripping the original phase difference to obtain a corrected phase difference, combining spatial physical distance to construct a space-time stability index, taking the space-time stability index as a topological edge connection weight in an initial space topology graph, determining the best connection path of phase unwrapping by executing a maximum spanning tree optimization algorithm and performing spatial deduction, obtaining a real phase sequence after stripping meteorological interference and calculating a subsidence rate, and triggering subsidence early warning based on a determination result. The present application improves the capture accuracy of small subsidence signals along the highway.

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