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Hyperspectral image representation and processing with binary partition trees

Autor
Valero, S.; Salembier, P.; Chanussot, J.
Tipus d'activitat
Article en revista
Revista
IEEE transactions on image processing
Data de publicació
2012-12-04
Volum
22
Número
4
Pàgina inicial
1430
Pàgina final
1443
DOI
https://doi.org/10.1109/TIP.2012.2231687 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/19419 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6374252 Obrir en finestra nova
Resum
The optimal exploitation of the information provided by hyperspectral images requires the development of advanced image-processing tools. This paper proposes the construction and the processing of a new region-based hierarchical hyperspectral image representation relying on the binary partition tree (BPT). This hierarchical region-based representation can be interpreted as a set of hierarchical regions stored in a tree structure. Hence, the BPT succeeds in presenting: 1) the decomposition of the...
Citació
Valero, S.; Salembier, P.; Chanussot, J. Hyperspectral image representation and processing with binary partition trees. "IEEE transactions on image processing", 04 Desembre 2012, vol. 22, núm. 4, p. 1430-1443.
Paraules clau
Binary partition tree, classification, hyperspectral imaging, segmentation
Grup de recerca
GPI - Grup de Processament d'Imatge i Vídeo
IDEAI-UPC Intelligent Data Science and Artificial Intelligence

Participants