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Variable local weight filtering for PolSAR data speckle noise reduction

Author
Alonso, A.; Lopez, C.; Salembier, P.
Type of activity
Presentation of work at congresses
Name of edition
IEEE International Geoscience and Remote Sensing Symposium 2012
Date of publication
2012
Presentation's date
2012-07
Book of congress proceedings
Proceedings IGARSS - International Geoscience and Remote Sensing Symposium
First page
2133
Last page
2136
Publisher
IEEE
DOI
https://doi.org/10.1109/IGARSS.2012.6351082 Open in new window
Repository
http://hdl.handle.net/2117/17818 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6351082&contentType=Conference+Publications&searchWithin%3DLopez-MArtinez%26sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6350328%29 Open in new window
Abstract
This paper presents a Polarimetric SAR data speckle filtering technique, based on a combined filtering in the spatial and polarimetric domains. It is based on a bilateral filtering employing distance measures over these domains. These measures concentrate all the information related to the domain structure that is needed for an adaptation to the scene morphology. A weighted average is performed over a given window favoring closer and similar pixels. As a consequence, an adaptive filtering is ach...
Citation
Alonso, A.; Lopez, C.; Salembier, P. Variable local weight filtering for PolSAR data speckle noise reduction. A: IEEE International Geoscience and Remote Sensing Symposium. "Proceedings IGARSS - International Geoscience and Remote Sensing Symposium". Munich: IEEE, 2012, p. 2133-2136.
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
RSLAB - Remote Sensing Lab

Participants