Paper Info
Title
Using Range Split-Spectrum Interferometry to Reduce Phase Unwrapping Errors for InSAR-Derived DEM in Large Gradient Region
Abstract
The use of the conventional interferometric synthetic aperture radar (InSAR) to generate digital elevation models (DEMs) always encounters phase unwrapping (PU) errors in areas with a sizeable topographic gradient. Range split-spectrum interferometry (RSSI) can overcome this issue; however, it loses the spatial resolution of the SAR image. We propose the use of the RSSI-assisted In-SAR-derived DEM (RID) method to address this challenge. The proposed approach first applies the RSSI method to generate a prior DEM, used for simulating terrain phases. Then, the simulated terrain phases are subtracted from the wrapped InSAR phases to obtain wrapped residual phases. Finally, the residual phases are unwrapped by the minimum cost flow (MCF) method, and the unwrapped residual phases are added to the simulated phases. Both the simulated and TerraSAR-X data sets are used to verify the proposed method. Compared with the InSAR and RSSI methods, the proposed approach can effectively decrease the PU errors of large gradients, ensure data resolution, and guarantee the DEM's accuracy. The root mean square error between the topographic phase simulated from the real DEM and the topographic phase generated from the proposed method is 2.22 rad, which is significantly lower than 6.60 rad for InSAR, and the improvement rate is about 66.36%.
Year
DOI
Venue
2022
10.3390/rs14112607
REMOTE SENSING
Keywords
DocType
Volume
range split-spectrum interferometry (RSSI), interferometric synthetic aperture radar (InSAR), digital elevation model (DEM), phase unwrapping error
Journal
14
Issue
ISSN
Citations 
11
2072-4292
0
PageRank 
References 
Authors
0.34
0
11
Name
Order
Citations
PageRank
Wenfei Mao100.34
Guoxiang Liu203.04
Xiaowen Wang3155.00
Yakun Xie402.03
Xiaoxing He501.01
Bo Zhang6419.80
Wei Xiang702.03
Shuaiying Wu800.68
Rui Zhang935.19
Yin Fu1002.03
Saied Pirasteh1100.68