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Communication Dans Un Congrès Année : 2011

Maximum Likelihood Shift Estimation using High Resolution Polarimetric SAR Clutter Model

Résumé

This paper deals with a Maximum Likelihood (ML) shift estimation method in the context of High Resolution (HR) Polarimetric SAR (PolSAR) clutter. Texture modeling is exposed and the generalized ML texture tracking method is extended to the merging of various sensors. Some results on displacement estimation on the Argentiere glacier in the Mont Blanc massif using dual-pol TerraSAR-X (TSX) and quad-pol RADARSAT-2 (RS2) sensors are finally discussed.
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Dates et versions

hal-00640768 , version 1 (14-11-2011)

Identifiants

  • HAL Id : hal-00640768 , version 1

Citer

Olivier Harant, Lionel Bombrun, Gabriel Vasile, Laurent Ferro-Famil, Michel Gay. Maximum Likelihood Shift Estimation using High Resolution Polarimetric SAR Clutter Model. POLinSAR 2011 - 5th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, Jan 2011, Frascati, Italy. 6 p. ⟨hal-00640768⟩
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