DocumentCode :
576138
Title :
Temporal PolSAR image series exploitation with binary partition trees
Author :
Alonso-González, Alberto ; López-Martínez, Carlos ; Salembier, Philippe
Author_Institution :
Signal Theor. & Commun. Dept. (TSC), Univ. Politec. de Catalunya (UPC), Barcelona, Spain
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
1493
Lastpage :
1496
Abstract :
In this paper, the processing of temporal PolSAR image series is addressed through a region-based and multi-scale data representation, the Binary Partition Tree (BPT). This structure contains useful information related to the data structure at different detail levels that may be employed for different applications. The construction of this structure ans its exploitation is addressed in this work in the context of the speckle filtering and data segmentation applications. A new region model and processing strategy are defined to tackle with the temporal dimension of the data. Finally, to illustrate the capabilities of the proposed technique, results are shown with a real RADARSAT-2 dataset.
Keywords :
filtering theory; geophysical image processing; image representation; image segmentation; radar computing; radar imaging; radar polarimetry; speckle; synthetic aperture radar; tree data structures; BPT; RADARSAT-2 dataset; binary partition tree; data segmentation application; data structure; data temporal dimension; multiscale data representation; region-based data representation; speckle filtering; temporal PoLSAR image series exploitation; Context; Covariance matrix; Data models; Data structures; Image segmentation; Speckle; Synthetic aperture radar; Binary Partition Tree; Change detection; SAR Polarimetry; Segmentation; Temporal series;
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.2012.6351252
Filename :
6351252
Link To Document :
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