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PolSAR time series processing with Binary Partition Trees

Autor
Alonso, A.; Lopez, C.; Salembier, P.
Tipus d'activitat
Article en revista
Revista
IEEE transactions on geoscience and remote sensing
Data de publicació
2014-06-01
Volum
52
Número
6
Pàgina inicial
3553
Pàgina final
3567
DOI
https://doi.org/10.1109/TGRS.2013.2273664 Obrir en finestra nova
Projecte finançador
SAR Multidimensional para la observación de la tierra: sistemas, procesado y aplicaciones
Repositori
http://hdl.handle.net/2117/23379 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6595582 Obrir en finestra nova
Resum
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...
Citació
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.
Paraules clau
Binary Partition Tree (BPT), Change detection, Polarimetric SAR data, Radar polarimetry, Representation, Ssegmentation, Synthetic aperture radar (SAR) polarimetry, Target decomposition-theorems, Time series
Grup de recerca
GPI - Grup de Processament d'Imatge i Vídeo
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
RSLAB - Grup de Recerca en Teledetecció

Participants