COMBINING PATCH-BASED ESTIMATION AND TOTAL VARIATION REGULARIZATION FOR 3D INSAR RECONSTRUCTION

Charles-Alban Deledalle 1 Loïc Denis 2 Giampaolo Ferraioli 3 Florence Tupin 4
1 IMB - Institut de Mathématiques de Bordeaux
2 LHC - Laboratoire Hubert Curien [Saint Etienne]
3 Universita degli studi di Napoli "Parthenope" [Napoli]
4 LTCI - Laboratoire Traitement et Communication de l'Information
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 : Index Terms— SAR interferometry multi-channel In-SAR Non-local means TV regularization
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Conference papers
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Submitted on : Thursday, October 22, 2015 - 10:04:27 AM
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  • HAL Id : ujm-01219134, version 1

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UNIV-ST-ETIENNE | INSTITUT-TELECOM | PARISTECH | IMB | LAHC | IOGS | LTCI | UNIV-PARIS-SACLAY

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Charles-Alban Deledalle, Loïc Denis, Giampaolo Ferraioli, Florence Tupin. COMBINING PATCH-BASED ESTIMATION AND TOTAL VARIATION REGULARIZATION FOR 3D INSAR RECONSTRUCTION. Geoscience and Remote Sensing Symposium (IGARSS), Jul 2015, Milan, Italy. ⟨ujm-01219134⟩

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