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PolSAR time series processing with Binary Partition Trees

Author
Alonso, A.; Lopez, C.; Salembier, P.
Type of activity
Journal article
Journal
IEEE transactions on geoscience and remote sensing
Date of publication
2014-06-01
Volume
52
Number
6
First page
3553
Last page
3567
DOI
https://doi.org/10.1109/TGRS.2013.2273664 Open in new window
Project funding
SAR Multidimensional para la observación de la tierra: sistemas, procesado y aplicaciones
Repository
http://hdl.handle.net/2117/23379 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6595582 Open in new window
Abstract
This paper deals with the processing of polarimetric synthetic aperture radar (SAR) time series. Different approaches to deal with the temporal dimension of the data are considered, which are derived from different target characterizations in this dimension. These approaches are the basis for defining two different binary partition tree (BPT) structures that are employed for SAR polarimetry (PolSAR) data processing. Once constructed, the BPT is processed by a tree pruning, producing a set of spa...
Citation
Alonso, A.; Lopez, C.; Salembier, P. PolSAR time series processing with Binary Partition Trees. "IEEE transactions on geoscience and remote sensing", 01 Juny 2014, vol. 52, núm. 6, p. 3553-3567.
Keywords
Binary Partition Tree (BPT), Change detection, Polarimetric SAR data, Radar polarimetry, Representation, Ssegmentation, Synthetic aperture radar (SAR) polarimetry, Target decomposition-theorems, Time series
Group of research
CommSensLab-UPC - Centre Específic de Recerca en Comunicació i Detecció UPC
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
RSLAB - Remote Sensing Lab

Participants