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 PARTHENOPE - Università degli Studi di Napoli “Parthenope” = University of Naples
4 LTCI - Laboratoire Traitement et Communication de l'Information

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

Domains: Engineering Sciences [physics]; Signal and Image processing

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⟩