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Temporal PolSAR image series exploitation with binary partition trees

Author
Alonso, A.; Lopez, C.; Salembier, P.
Type of activity
Presentation of work at congresses
Name of edition
IEEE International Geoscience and Remote Sensing Symposium 2012
Date of publication
2012
Presentation's date
2012-07
Book of congress proceedings
IGARSS 2012: International Geoscience and Remote Sensing Symposium: remote science for a dynamic earth: proceedings, 22-27 July 2012 Munich
First page
1493
Last page
1496
Publisher
IEEE
DOI
https://doi.org/10.1109/IGARSS.2012.6351252 Open in new window
Repository
http://hdl.handle.net/2117/17826 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6351252&contentType=Conference+Publications&searchWithin%3DLopez-MArtinez%26sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6350328%29 Open in new window
Abstract
In this paper, the processing of temporal PolSAR image series is addressed through a region-based and multi-scale data representation, the Binary Partition Tree (BPT). This structure contains useful information related to the data structure at different detail levels that may be employed for different applications. The construction of this structure ans its exploitation is addressed in this work in the context of the speckle filtering and data segmentation applications. A new region model and pr...
Citation
Alonso, A.; Lopez, C.; Salembier, P. Temporal PolSAR image series exploitation with binary partition trees. A: IEEE International Geoscience and Remote Sensing Symposium. "IGARSS 2012: International Geoscience and Remote Sensing Symposium: remote science for a dynamic earth: proceedings: 22-27 July 2012 Munich". Munich: IEEE, 2012, p. 1493-1496.
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