Surface deformation inversion method based on time sequence InSAR technology

Abstract

The invention relates to a surface deformation inversion method based on a time sequence InSAR technology. The surface deformation inversion method comprises the following steps of geocoding and imageregistration, differential interference pair generation, PS point selection, space-time unwrapping and error separation. Specifically, on the basis of an image registration mode, coarse registrationand fine registration are adopted, and the registration precision requirement in a TOPS imaging mode is guaranteed; for an atmospheric delay error, the layered atmosphere and the floating atmosphere are respectively processed by using different algorithms, so that influence of the atmospheric error is weakened to the greatest extent, and the deformation inversion precision is improved; and if GNSSdata is provided, atmospheric delay can be corrected by utilizing the observation data, and meanwhile, joint adjustment is carried out by taking the observation data as a constraint condition in an InSAR observation equation, so that the precision and reliability of a deformation result are ensured, and all-weather, large-area, continuous and high-spatial-resolution surface deformation monitoringis realized.

Description

technical field [0001] The invention relates to the field of surface deformation monitoring, in particular to a surface deformation inversion method based on time series InSAR technology. Background technique [0002] In recent years, geological disasters caused by surface deformation have received widespread attention. The causes include natural factors such as crustal movement, lithology, folds, and fault structures, as well as human factors such as groundwater and excessive mining of minerals. Severe surface deformation will cause serious losses to society and economy, so it is of great significance to carry out deformation monitoring and inversion. [0003] The traditional monitoring methods of surface deformation, especially the earthquake coseismic deformation field, urban land subsidence and mining area surface subsidence, mostly use first-class or second-class precision level or GNSS monitoring. Precision leveling is suitable for engineering surveys with a small are...

AI Technical Summary

Problems solved by technology

However, with the development of spaceborne SAR platforms, different imaging methods have put forward higher requirements for image registration, and ordinary polynomial registration methods cannot meet the accuracy requirements.

At the same time, for the processing of atmospheric errors, the existing filtering processing methods do not consider the different characteristics of the stratified atmosphere and the floating atmosphere to deal with them separately

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