Method for inversion of ground feature high elevation and number of land subsidence through high resolution InSAR timing sequence analysis

Abstract

A method for inversion of the ground feature high elevation and the number of land subsidence through high resolution InSAR timing sequence analysis includes the first step of high resolution SAR data selection, the second step of initial elevation phase estimation, the third step of selection of InSAR timing sequences, analysis of an interference image pair data set and extraction of coherent target candidate points, the fourth step of elevation phase correction and linear deformation component estimation, and the fifth step of deformation sequence estimation of coherent targets. According to the method, the defect that no high resolution DEM is available for removal of high-rise building additional phases in urban area high resolution InSAR deformation monitoring data processing can be overcome, the additional phases and deformation phases of urban high-rise buildings in the high resolution InSAR are effectively separated, and therefore monitoring precision of the high resolution InSAR in urban area land subsidence is greatly improved.

Description

technical field [0001] The invention relates to a method for high-resolution InSAR time series analysis and inversion of surface object elevation and ground subsidence, and belongs to the field of synthetic aperture radar interferometry (InSAR). It can effectively separate the additional phase and deformation phase of urban high-rise buildings in the high-resolution InSAR interferogram, which can greatly improve the monitoring accuracy of high-resolution InSAR in urban land subsidence. Background technique [0002] Using InSAR to solve the elevation (DEM) or deformation variable, phase unwrapping is one of the necessary steps. This step is called unwrapping in differential interference processing, and it is called parameter estimation in time series analysis method. Its essence is to solve The whole number of phase wrapping, the basic process is to solve the phase difference between adjacent points, and then integrate according to a specific path or network with certain cons...

AI Technical Summary

Problems solved by technology

However, such high-resolution DEM data are often difficult to obtain

Therefore, this method of compensating the elevation of the entire pixel through an external DEM (such as SRTM) will be difficult to apply in high-resolution data processing, and it is necessary to study the method of accurate calculation of the elevation of a single object

Images