Carregant...
Carregant...

Vés al contingut (premeu Retorn)

Object recognition in hyperspectral images using Binary Partition Tree representation

Autor
Valero, S.; Salembier, P.; Chanussot, J.
Tipus d'activitat
Article en revista
Revista
Pattern recognition letters
Data de publicació
2015-04-15
Volum
56
Pàgina inicial
45
Pàgina final
51
DOI
https://doi.org/10.1016/j.patrec.2015.01.003 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/27385 Obrir en finestra nova
URL
http://ac.els-cdn.com/S0167865515000215/1-s2.0-S0167865515000215-main.pdf?_tid=9aea1a42-e41c-11e4-acbb-00000aab0f26&acdnat=1429177403_22735d3200add9750a6237705e8ad76f Obrir en finestra nova
Resum
In this work, an image representation based on Binary Partition Tree is proposed for object detection in hyperspectral images. This hierarchical region-based representation can be interpreted as a set of hierarchical regions stored in a tree structure, which succeeds in presenting: (i) the decomposition of the image in terms of coherent regions and (ii) the inclusion relations of the regions in the scene. Hence, the BPT representation defines a search space for constructing a robust object ident...
Citació
Valero, S.; Salembier, P.; Chanussot, J. Object recognition in hyperspectral images using Binary Partition Tree representation. "Pattern recognition letters", 15 Abril 2015, vol. 56, p. 45-51.
Paraules clau
Binary Partition Tree, Hyperspectral images, Information, Mathematical morphology, Object based image analysis, Object recognition, Remote-Sensing images
Grup de recerca
GPI - Grup de Processament d'Imatge i Vídeo
IDEAI-UPC Intelligent Data Science and Artificial Intelligence

Participants

Arxius