Fisher PDF forMaximum Likelihood Texture Tracking with High Resolution PolSAR Data
Conference: EUSAR 2010 - 8th European Conference on Synthetic Aperture Radar
06/07/2010 - 06/10/2010 at Aachen, Germany
Proceedings: EUSAR 2010
Pages: 4Language: englishTyp: PDF
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Authors:
Harant, Olivier; Bombrun, Lionel; Vasile, Gabriel; Gay, Michel (Grenoble-Image-sPeech-Signal-Automatics Lab, GIPSA-lab DIS/SIGMAPHY, CNRS - Grenoble INP, France)
Harant, Olivier; Ferro-Famil, Laurent (Institute of Electronics and Telecommunications Rennes, IETR SAPHIR, CNRS - Université de Rennes 1, France)
Fallourd, Renaud; Trouvé, Emmanuel (Laboratoire d’Informatique, Systèmes, Traitement de l’Information et de la Connaissance, LISTIC, Université de Savoie, France)
Fallourd, Renaud; Nicolas, Jean-Marie; Tupin, Florence (Laboratoire Traitement et Communication de l’Information, LTCI TSI, CNRS - Telecom ParisTech, France)
Abstract:
This paper presents a novel method to estimate displacement by Maximum Likelihood (ML) texture tracking in PolSAR images. The observed Polarimetric SAR (PolSAR) 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 spaceborne PolSAR images provided by the TerraSAR-X (TSX) satellite.