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Polarimetric differential SAR interferometry in an arid natural environment
Institution:1. Institute of Computing Research, University of Alicante, P.O. Box 99, Alicante E-03080, Spain;2. Faculty of Civil Engineering, Istanbul Technical University, Istanbul TR-34469, Turkey;3. Department of Earth Physics and Thermodynamics, Faculty of Physics, Universitat de Valencia, Dr. Moliner, Burjassot 46100, Valencia, Spain
Abstract:Ground deformation measurements have contributed to a better understanding of the processes and mechanisms involved in natural hazards. Those include landslides, subsidence, earthquakes and volcanic eruptions. Spaceborne Differential Interferometric Synthetic Aperture RADAR (DInSAR) is a well studied technique for measuring ground deformation. Quality of deformation measurements, however, is often degraded by decorrelation. With the advent of fully polarimetric SAR satellite sensors, polarimetric optimization techniques exploiting polarimetric diversity improve the phase quality of interferograms. In this paper, we analyzed three polarimetric optimization methods to determine the optimal one for application in an arid natural environment. We considered coherence decomposition in single and double phase center scenarios. Coherence estimation bias associated with each optimization method has been analyzed. We compared the derived displacement values with terrestrial GPS measurements. The study shows that polarimetric optimization increases the number of coherent pixels by upto 6.89% as compared with a single polarization channel. The study concludes that polarimetric optimization coupled with DInSAR analysis yields more reliable deformation results in a low coherence region.
Keywords:Polarimetric optimization  Differential SAR interferometry (DInSAR)  Polarimetric SAR interferometry (PolInSAR)  GPS
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