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Title: Local edginess measures in PolSAR imagery by using stochastic distances
Authors: Gómez Déniz, Luis 
Alvarez, Luis 
Frery, Alejandro C.
UNESCO Clasification: 120601 Construcción de algoritmos
120602 Ecuaciones diferenciales
120601 Construcción de algoritmos
220990 Tratamiento digital. Imágenes
Issue Date: 2018
Journal: International Geoscience and Remote Sensing Symposium (IGARSS)
Abstract: In this paper we study the local behavior of Fully PolSAR (Polarimetric Synthetic Aperture Radar) images defined by 3 × 3 complex Wishart distributions. We propose a generalization of the well-known structure tensor to Fully PolSAR images, as well as a measure of the smoothness of such predominant direction. This measure provides local information as the predominant direction of maximum variation of the complex Wishart distribution in a neighborhood of an image domain point (x, y). We use stochastic distances defined in the space of Wishart matrices to generalize de structure tensor to PolSAR images. The study of the local behavior of PolSAR images address a number of processing and analysis problems. In particular, in this paper we apply this new approach to edge estimation using the magnitude of the PolSAR image variation provided by the generalized structure tensor. We also show promising results for simulated and actual PolSAR data.
ISBN: 9781538671504
DOI: 10.1109/IGARSS.2018.8518008
Appears in Collections:Actas de Congresos

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