DocumentCode
2234632
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
fYear
2012
fDate
22-27 July 2012
Firstpage
5153
Lastpage
5156
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6352450
Filename
6352450
Link To Document