A Method of Surface Deformation Monitoring Based on Multi-polarization Time Series SAR Data

Abstract

The invention discloses a surface deformation monitoring method based on multi-polarization time-series SAR data, which utilizes the difference in response of surface scatterers to electromagnetic wave echo signals of different polarizations, and performs interferogram phase optimization based on multi-polarization data containing more abundant information. , improve the quality of the interferometric phase, increase the density of time-series monitoring points, and improve the accuracy of deformation monitoring; the method of the present invention can not only effectively weaken the influence of decoherence on surface deformation monitoring, but also realize deformation detection in lower coherence regions, and at the same time, it is better than monopole The time-series InSAR technology has a higher density of deformation monitoring points and a wider range of deformation monitoring.

Description

technical field [0001] The invention belongs to the field of geological monitoring, and in particular relates to a method for monitoring surface deformation based on multi-polarization time-series SAR data. Background technique [0002] Affected by natural factors and human activities, the earth's surface can deform to varying degrees, causing damage to structures on the earth's surface, threatening people's lives and causing economic losses. Rapid and accurate monitoring of surface deformation is essential for the prevention and control of ground deformation disasters, and the health and safety assessment of surface structures. [0003] At this stage, the conventional means of surface deformation monitoring mainly include leveling survey and GNSS (Global Navigation Satellite System) survey. Among them, leveling measurement is the main means of deformation monitoring. Although the monitoring accuracy is very high, when carrying out large-scale deformation monitoring, the pr...

AI Technical Summary

Problems solved by technology

However, when SAR images are affected by various decoherence factors, whether it is differential InSAR or multi-sequence InSAR technology, in the case of long temporal and spatial baselines or vegetation coverage areas, low interferometric phase quality and low interferometric phase will inevitably occur. The effect is poor, which leads to problems such as a small number of time-series monitoring points and a decrease in monitoring accuracy. It is impossible to fully reveal the law of surface deformation, which limits the application of InSAR technology in surface deformation monitoring.

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