Title :
Bilateral filtering of PolSAR data based on Riemannian metrics
Author :
Hondt, Olivier D. ; Guillaso, Stéphane ; Hellwich, Olaf
Author_Institution :
Comput. Vision & Remote Sensing Group, Tech. Univ. of Berlin, Berlin, Germany
Abstract :
In this paper we propose a new speckle filter for polarimetric SAR data based on the bilateral filter. We also study the use of Riemannian metrics related to the Hermitian nature of the complex covariance matrices. The approach is validated over synthetic and experimental data. The method achieves a strong smoothing in homogeneous areas while preserving both polarimetric and spatial information.
Keywords :
Hermitian matrices; covariance matrices; filtering theory; radar polarimetry; radar signal processing; speckle; Hermitian matrix; PolSAR data; Riemannian metric; bilateral filtering; complex covariance matrix; polarimetric SAR data; spatial information; speckle filter; Covariance matrix; Image edge detection; Measurement; Remote sensing; Smoothing methods; Speckle; Synthetic aperture radar; Polarimetry; Riemannian metrics; SAR; filtering; speckle;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352450
