Research Papers

Enhanced algorithm based on persistent scatterer interferometry for the estimation of high-rate land subsidence

[+] Author Affiliations
Zahra Sadeghi

K.N. Toosi University of Technology (KNTU), Faculty of Geomatics and Geodesy, Tehran 11369, Iran

Mohammad Javad Valadan Zoej

K.N. Toosi University of Technology (KNTU), Faculty of Geomatics and Geodesy, Tehran 11369, Iran

Maryam Dehghani

Shiraz University, Department of Civil and Environmental Engineering, School of Engineering, Shiraz 71364, Iran

Ni-Bin Chang

University of Central Florida, Civil, Environmental, and Construction Engineering Department, Orlando, Florida 32816

J. Appl. Remote Sens. 6(1), 063573 (Sep 12, 2012). doi:10.1117/1.JRS.6.063573
History: Received December 28, 2011; Revised July 12, 2012; Accepted August 15, 2012
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Abstract.  Persistent scatterer interferometry (PSI) techniques using amplitude analysis and considering a temporal deformation model for PS pixel selection are unable to identify PS pixels in rural areas lacking human-made structures. In contrast, high rates of land subsidence lead to significant phase-unwrapping errors in a recently developed PSI algorithm (StaMPS) that applies phase stability and amplitude analysis to select the PS pixels in rural areas. The objective of this paper is to present an enhanced algorithm based on PSI to estimate the deformation rate in rural areas undergoing high and nearly constant rates of deformation. The proposed approach integrates the strengths of all of the existing PSI algorithms in PS pixel selection and phase unwrapping. PS pixels are first selected based on the amplitude information and phase-stability estimation as performed in StaMPS. The phase-unwrapping step, including the deformation rate and phase-ambiguity estimation, is then performed using least-squares ambiguity decorrelation adjustment (LAMBDA). The atmospheric phase screen (APS) and nonlinear deformation contribution to the phase are estimated by applying a high-pass temporal filter to the residuals derived from the LAMBDA method. The final deformation rate and the ambiguity parameter are re-estimated after subtracting the APS and the nonlinear deformation from that of the initial phase. The proposed method is applied to 22 ENVISAT ASAR images of southwestern Tehran basin captured between 2003 and 2008. A quantitative comparison with the results obtained with leveling and GPS measurements demonstrates the significant improvement of the PSI technique.

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© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Zahra Sadeghi ; Mohammad Javad Valadan Zoej ; Maryam Dehghani and Ni-Bin Chang
"Enhanced algorithm based on persistent scatterer interferometry for the estimation of high-rate land subsidence", J. Appl. Remote Sens. 6(1), 063573 (Sep 12, 2012). ; http://dx.doi.org/10.1117/1.JRS.6.063573


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