COMBINING PATCH-BASED ESTIMATION AND TOTAL VARIATION REGULARIZATION FOR 3D INSAR RECONSTRUCTION
FERRAIOLI, Giampaolo
Università degli Studi di Napoli “Parthenope” = University of Naples [PARTHENOPE]
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Università degli Studi di Napoli “Parthenope” = University of Naples [PARTHENOPE]
FERRAIOLI, Giampaolo
Università degli Studi di Napoli “Parthenope” = University of Naples [PARTHENOPE]
< Reduce
Università degli Studi di Napoli “Parthenope” = University of Naples [PARTHENOPE]
Language
en
Communication dans un congrès
This item was published in
Geoscience and Remote Sensing Symposium (IGARSS), 2015-07, Milan. 2015-07
English 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 ...Read more >
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.Read less <
English Keywords
Index Terms— SAR interferometry
multi-channel In-SAR
Non-local means
TV regularization
Origin
Hal imported