FILTERING AND SEGMENTATION OF POLARIMETRIC SAR IMAGES WITH BINARY PARTITION TREES

被引：13

作者：

Alonso-Gonzalez, Alberto ^{[1
]}

Lopez-Martinez, Carlos ^{[1
]}

Salembier, Philippe ^{[1
]}

机构：

[1] Univ Politecn Cataluna, Signal Theory & Commun Dept TSC, ES-08034 Barcelona, Spain

来源：

2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2010年

关键词：

SAR; SAR Polarimetry; Speckle filtering; Binary Partition Tree; Segmentation; CLASSIFICATION;

D O I：

10.1109/IGARSS.2010.5653466

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

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.

引用

页码：4043 / 4046

页数：4

共 4 条

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