DocumentCode :
3690482
Title :
Combining patch-based estimation and total variation regularization for 3D InSAR reconstruction
Author :
Charles-Alban Deledalle;Loic Denis;Giampaolo Ferraioli;Florence Tupin
Author_Institution :
CNRS-Univ. Bordeaux, IMB - Talence, France
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
2485
Lastpage :
2488
Abstract :
In this paper we propose a new approach for height retrieval using multi-channel SAR interferometry. It combines patch-based estimation and total variation regularization to provide a regularized height estimate. The non-local likelihood term adaptation relies on NL-SAR method, and the global optimization is realized through graph-cut minimization. The method is evaluated both with synthetic and real experiments.
Keywords :
"Coherence","Synthetic aperture radar","Maximum likelihood estimation","Interferometry","Minimization","Covariance matrices"
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
ISSN :
2153-6996
Electronic_ISBN :
2153-7003
Type :
conf
DOI :
10.1109/IGARSS.2015.7326314
Filename :
7326314
Link To Document :
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