DOI: 10.1016/j.jag.2017.02.019
Scopus记录号: 2-s2.0-85019542111
论文题名: Polarimetric differential SAR interferometry in an arid natural environment
作者: Mullissa A ; G ; , Tolpekin V ; , Stein A ; , Perissin D
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2017
卷: 59 起始页码: 9
结束页码: 18
语种: 英语
英文关键词: Differential SAR interferometry (DInSAR)
; GPS
; Polarimetric optimization
; Polarimetric SAR interferometry (PolInSAR)
Scopus关键词: arid environment
; deformation
; displacement
; GPS
; interferometry
; measurement method
; optimization
; synthetic aperture radar
英文摘要: 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. © 2017 Elsevier B.V. All rights reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79924
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Department of Earth Observation Science, Faculty of Geoinformation Science and Earth Observation, University of Twente, P.O. Box 217, Enschede, Netherlands; Lyle School of Civil Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN, United States
Recommended Citation:
Mullissa A,G,, Tolpekin V,et al. Polarimetric differential SAR interferometry in an arid natural environment[J]. International Journal of Applied Earth Observation and Geoinformation,2017-01-01,59