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Filtering and segmentation of polarimetric SAR images with binary partition trees

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Alonso González, AlbertoMés informació
López Martínez, CarlosMés informacióMés informacióMés informació
Salembier Clairon, Philippe JeanMés informacióMés informacióMés informació
Document typeConference report
Defense date2010
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
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.
CitationAlonso, A.; López, C.; Salembier, P. Filtering and segmentation of polarimetric SAR images with binary partition trees. A: IEEE International Geoscience and Remote Sensing Symposium. "2010 IEEE International Geoscience and Remote Sensing Symposium". Honolulu: 2010, p. 4043-4046. 
URIhttp://hdl.handle.net/2117/10563
ISBN978-1-4244-9564-1
Publisher versionhttp://cataleg.upc.edu/record=b1167223~S1*cat
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