DocumentCode :
575864
Title :
Multichannel InSAR DEM reconstruction through closed-form robust Chinese remainder theorem
Author :
Yuan, Zhihui ; Li, Fei ; Deng, Yunkai ; Wang, Robert ; Liu, Gang
Author_Institution :
Dept. of Space Microwave Remote Sensing, Inst. of Electron., Beijing, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
4006
Lastpage :
4009
Abstract :
Interferometric synthetic aperture radar (InSAR) multichannel system, based on the collection of more interferograms acquired in a multifrequency or in a multibaseline configuration, allows us to reconstruct highly sloped and discontinuous terrain height profiles. In this paper, we present a new method to solve the digital elevation model (DEM) reconstruction problem using the closed-form robust Chinese remainder theorem (CRT). This method uses the remainder differential process, which does not exist in the traditional CRT, to improve the robustness of the DEM reconstruction. The simulation results demonstrate that the performance of the proposed method is better than statistical methods such as maximum likelihood (ML) estimation techniques, when the number of independent interferograms does not large enough.
Keywords :
digital elevation models; radar interferometry; statistical analysis; synthetic aperture radar; CRT; ML estimation technique; closed-form robust Chinese remainder theorem; digital elevation model reconstruction problem; discontinuous terrain height profiles; interferograms; interferometric synthetic aperture radar multichannel system; maximum likelihood estimation technique; multibaseline configuration; multichannel InSAR DEM reconstruction; remainder differential process; statistical method; Image reconstruction; Indexes; Maximum likelihood estimation; Robustness; Simulation; Synthetic aperture radar; Chinese remainder theorem (CRT); Digital elevation model (DEM) reconstruction; robustness; synthetic aperture radar (SAR) interferometry;
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.2012.6350531
Filename :
6350531
Link To Document :
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