Dynamic deformation retrieval for DInSAR data

Author

Tao, Li ; Wang, Chao ; Zhang, Hong ; Tang, Yixian ; Wu, Fan

Author_Institution

Grad. Univ. of Chinese Acad. of Sci., Beijing, China

fYear

2011

fDate

24-29 July 2011

Firstpage

1612

Lastpage

1614

Abstract

This study presents a dynamic deformation retrieval method for differential synthetic aperture radar interferometry (DInSAR) processing. Detailed nonlinear displacement parameters are modeled and estimated for capturing the developing trends of ground movement both in time and space. In order to reduce the system disturbance errors such as atmospheres and platform deviations, the singular value decomposition technique is applied. 13 ascending ALOS PALSAR images from 2008/07/05 to 2010/08/26 are collected for the algorithm experiment. The studied area locates in Tianjin China and detailed deformation evaluation patterns have been obtained. The experimental results are validated via leveling data and prove the effectiveness of the algorithm.

Keywords

radar interferometry; remote sensing by radar; singular value decomposition; synthetic aperture radar; AD 2008 07 05 to 2010 08 26; ALOS PALSAR images; China; DInSAR processing; INSAR data; Tianjin; differential synthetic aperture radar interferometry; dynamic deformation retrieval; ground movement; nonlinear displacement parameters; platform deviations; singular value decomposition; system disturbance errors; Earth; Heuristic algorithms; Image resolution; Interferometry; Monitoring; Singular value decomposition; Synthetic aperture radar; Dynamic Deformation Detection; Multi-baseline DInSAR; SAR Interferometry;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6049539

Filename

6049539