Please use this identifier to cite or link to this item:
Title: Local edginess measures in PolSAR imagery by using stochastic distances
Authors: Gómez Déniz, Luis 
Alvarez, Luis 
Frery, Alejandro C.
Keywords: Investigación
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

Show full item record


checked on Jul 20, 2019

Page view(s)

checked on Jul 21, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.