@inproceedings{ee7bae492aed418c97faba5f44ebd125,
title = "Fisher PDF for Maximum Likelihood texture tracking with high resolution PolSAR data",
abstract = "This paper1 presents a novel method to estimate displacement by Maximum Likelihood (ML) texture tracking in PolSAR images. The observed Polarimetric SAR (PoISAR) data-set is composed by two terms: a scalar texture parameter and a speckle component. The ML estimator of the texture is estimated using the Spherically Invariant Random Vectors (SIRV) processes. The proposed method is tested with both simulated PolSAR data and spacebome PolSAR images provided by the TerraSAR-X (TSX) satellite.",
author = "Olivier Harant and Lionel Bombrun and Gabriel Vasile and Michel Gay and Laurent Ferro-Famil and Renaud Fallourd and Emmanuel Trouv{\'e} and Nicolas, \{Jean Marie\} and Florence Tupin",
note = "Publisher Copyright: {\textcopyright} VDE VERLAG GMBH · Berlin · Offenbach.; 8th European Conference on Synthetic Aperture Radar, EUSAR 2010 ; Conference date: 07-06-2010 Through 10-06-2010",
year = "2010",
month = jan,
day = "1",
language = "English",
series = "Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "418--421",
booktitle = "8th European Conference on Synthetic Aperture Radar, EUSAR 2010",
}