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Processing multidimensional SAR and hyperspectral images with binary partition tree

Autor
Alonso, A.; Valero, S.; Chanussot, J.; Lopez, C.; Salembier, P.
Tipus d'activitat
Article en revista
Revista
Proceedings of the IEEE
Data de publicació
2012-08-13
Volum
101
Número
3
Pàgina inicial
723
Pàgina final
747
DOI
https://doi.org/10.1109/JPROC.2012.2205209 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/18321 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6266680 Obrir en finestra nova
Resum
The current increase of spatial as well as spectral resolutions of modern remote sensing sensors represents a real opportunity for many prac tical applications but also generates important challenges in terms of image processing. In particular, the spatial correlation between pixels and/or the spectral correlation between spectral bands of a given pixel cannot be ignored. The traditional pixel-based representation of images does not facilitate the handling of these correlations. In this paper, w...
Citació
Alonso, A. [et al.]. Processing multidimensional SAR and hyperspectral images with binary partition tree. "Proceedings of the IEEE", Març 2013, vol. 101, núm. 3, p. 723-747.
Paraules clau
Binary partition tree (BPT), classification, filtering, hyperspectral images, segmentation, synthetic aperture radar (SAR) images
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