Multidimensional speckle noise model

Authors:
Carlos López-Martínez;Xavier Fàbregas;Eric Pottier
Affiliations:
Equipe SAPHIR, Institut d'Electronique et de Télécommunications de Rennes UMR CNRS, Université de Rennes, Rennes Cedex, France;Grup de Teledeteccio Activa, Departament de Teoria del Senyal i Communicacions, Universitat Politecnica de Catalunya (UPC), Barcelona, Spain;Equipe SAPHIR, Institut d'Electronique et de Télécommunications de Rennes UMR CNRS, Université de Rennes, Rennes Cedex, France
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2005

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Polarimetric SAR image object segmentation via level set with stationary global minimum

EURASIP Journal on Advances in Signal Processing - Special issue on advances in multidimensional synthetic aperture radar signal processing

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Abstract

One of the main problems of SAR imagery is the presence of speckle noise, originated by the inherent coherent nature of this type of systems. For one-dimensional SAR systems it has been demonstrated that speckle can be considered as a multiplicative noise term. Nevertheless, this simple model cannot be exported when multidimensional SAR imagery is addressed. This paper is devoted to present the latest advances into the definition of a multidimensional speckle noise model which does not depend on the data dimensionality. Speckle noise may be modeled by multiplicative and additive noise sources, whose combination is determined by the data's correlation structure. The validity of the proposed model is demonstrated by its application to a real L-band multidimensional SAR dataset acquired by the German ESAR sensor.