A study on PS-InSAR and D-InSAR for DDM determination in hilly areas in Taiwan

Jia Shiang Yang, Jaan-Rong Tsay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The phase information of the SAR(Synthetic Aperture Radar) image is used to evaluate a large-scale DDM (Digital Displacement Model) in a short time by D-InSAR (Differential Interferometric SAR). However, there are many practical problems to be solved somehow, especially in Taiwan, due to dense vegetation cover and quick variation on weather which would drop coherence. PS-InSAR (Permanent Scatterers Interferometric SAR) adopts numerous multi-time SAR images to find out permanent scatterers having high coherence. Taking these permanent scatterers to be unwrapped with multi-dimension algorithm can evaluate successive displacement along a time series. There is dense vegetation cover in hilly areas in Taiwan. The quality of DDM determined by D-InSAR is not good because the coherence would be critically dropped in these hilly areas. However, some permanent scatterers, not adopted by D-InSAR, can be applied by complex algorithm of PS-InSAR. Taking these permanent scatterers to be unwrapped with multi-dimension algorithm can evaluate successive displacement along a time series. The accuracy of PS-InSAR can achieve mm level better than cm level of D-InSAR, in which the cities and towns are often the computation areas. PS-InSAR is usually used to study the subsidence with micro-variation. The 921 earthquake occurred in central Taiwan is an experimental case. The ERS-1 and ERS-2 images are used to operate PS-InSAR and D-InSAR. The DDMs determined by PS-InSAR and D-InSAR are compared and some practical problems are analyzed. In this paper, PS-InSAR with the improved method for selecting candidates of permanent scatterers can estimate displacements on permanent scatterers, which can't be done by using a general method.

Original languageEnglish
Title of host publication31st Asian Conference on Remote Sensing 2010, ACRS 2010
Pages491-496
Number of pages6
Volume1
Publication statusPublished - 2010
Event31st Asian Conference on Remote Sensing 2010, ACRS 2010 - Hanoi, Viet Nam
Duration: 2010 Nov 12010 Nov 5

Other

Other31st Asian Conference on Remote Sensing 2010, ACRS 2010
CountryViet Nam
CityHanoi
Period10-11-0110-11-05

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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