COMBINING PATCH-BASED ESTIMATION AND TOTAL VARIATION REGULARIZATION FOR 3D INSAR RECONSTRUCTION - Université Jean-Monnet-Saint-Étienne
Communication Dans Un Congrès Année : 2015

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

Résumé

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.
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Dates et versions

ujm-01219134 , version 1 (22-10-2015)

Identifiants

  • HAL Id : ujm-01219134 , version 1

Citer

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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