DocumentCode :
576163
Title :
High surface displacement monitoring with persistent scatterer interferometry
Author :
Sadeghi, Zahra ; Zouj, Mohammad Javad Valadan ; Dehghani, Maryam
Author_Institution :
Fac. of Geodesy & Geomatics Eng., K.N.Toosi Univ. of Technol., Tehran, Iran
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
1310
Lastpage :
1313
Abstract :
PS Interferometry overcomes the temporal and geometrical decorrelation limitations through selection of so-called Persistent Scatterers (PS) with coherent scattering behavior over time using a large stack of interferometric SAR image. In Stanford Method for Persistent Scatterers, StaMPS, the deformation can be extracted even in areas lacking the corner reflectors, but the high subsidence rates lead to significant phase unwrapping errors. Therefore, in this paper we present an improved algorithm based on StaMPS in order to estimate deformation rate in rural area undergoing high and nearly constant deformation rate. In this approach, the linear deformation is approximated using Periodogram method and is subtracted in order to eliminate the unwrapping error. The approach is applied to the ENVISAT ASAR images of Tehran Southwestern basin and the results is compared with leveling measurements demonstrating the high performance of the proposed algorithm.
Keywords :
geomorphology; radar interferometry; remote sensing by radar; ENVISAT ASAR images; Iran; PS interferometry; StaMPS; Stanford Method for Persistent Scatterers; Tehran southwestern basin; coherent scattering behavior; constant deformation rate; deformation rate estimation; high surface displacement monitoring; interferometric SAR image; linear deformation; periodogram method; persistent scatterer interferometry; rural area; Algorithm design and analysis; Approximation algorithms; Coherence; Estimation; Geophysical measurements; Interferometry; Measurement uncertainty; PSI; Periodogram; Persistent Scattere; StaMPS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6351297
Filename :
6351297
Link To Document :
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