Binary partition tree as a polarimetric SAR data representation in the space-time domain

Author

Alonso-Gonzalez, Alberto ; López-Martínez, Carlos ; Salembier, Philippe

Author_Institution

Signal Theor. & Commun. Dept. (TSC), Univ. Politec. de Catalunya (UPC), Barcelona, Spain

fYear

2011

fDate

24-29 July 2011

Firstpage

3819

Lastpage

3822

Abstract

The aim of this paper is to present a Polarimetric Synthetic Aperture Radar data processing technique on the space-time domain. This approach is based on a Binary Partition Tree (BPT), which is a region-based and multi-scale data representation. Results with series of RADARSAT-2 real data are analyzed from the point of view of speckle filtering and change detection applications, to illustrate the capabilities to detect and preserve spatial and temporal contours.

Keywords

feature extraction; geophysical image processing; geophysical techniques; image representation; radar polarimetry; remote sensing by radar; synthetic aperture radar; RADARSAT-2 real data; binary partition tree; change detection method; multiscale data representation; polarimetric SAR data representation; polarimetric synthetic aperture radar data processing technique; region-based data representation; space-time domain; spatial contour; speckle filtering method; temporal contour; Covariance matrix; Entropy; Filtering; Image segmentation; Scattering; Speckle; Urban areas; Binary Partition Tree; Change detection; SAR; SAR Polarimetry; Segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6050063

Filename

6050063