Filtering and segmentation of polarimetric SAR images with binary partition trees

Other authors

Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions

Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció

Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo

Publication date

2010

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.


Peer Reviewed


Postprint (published version)

Document Type

Conference report

Language

English

Related items

http://cataleg.upc.edu/record=b1167223~S1*cat

Recommended citation

This citation was generated automatically.

Rights

Open Access

This item appears in the following Collection(s)

E-prints [72987]