DocumentCode
3365009
Title
Filtering and segmentation of polarimetric SAR images with Binary Partition Trees
Author
Alonso-González, Alberto ; López-Martínez, Carlos ; Salembier, Philippe
Author_Institution
Signal Theor. & Commun. Dept. (TSC), Universistat Politec. de Catalunya (UPC), Barcelona, Spain
fYear
2010
fDate
25-30 July 2010
Firstpage
4043
Lastpage
4046
Abstract
A new multi-scale PolSAR data filtering technique, based on a Binary Partition Tree (BPT) representation of the data, is proposed. Different alternatives for the construction and the exploitation of the BPT for filtering and segmentation are presented. Results with simulated and experimental PolSAR data are presented to shown the capabilities of the BPT-filtering strategy to maintain both spatial details and the polarimetric information.
Keywords
filtering theory; image segmentation; radar imaging; radar polarimetry; synthetic aperture radar; trees (mathematics); binary partition trees; image segmentation; multiscale PolSAR data filtering technique; polarimetric SAR image; Correlation; Covariance matrix; Data models; Image segmentation; Pixel; Spatial resolution; Speckle; Binary Partition Tree; SAR; SAR Polarimetry; Segmentation; Speckle filtering;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location
Honolulu, HI
ISSN
2153-6996
Print_ISBN
978-1-4244-9565-8
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2010.5653466
Filename
5653466
Link To Document