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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5653466
