Fisher PDF forMaximum Likelihood Texture Tracking with High Resolution PolSAR Data

Konferenz: EUSAR 2010 - 8th European Conference on Synthetic Aperture Radar
07.06.2010 - 10.06.2010 in Aachen, Germany

Tagungsband: EUSAR 2010

Seiten: 4Sprache: EnglischTyp: PDF

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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)

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.