Conference Papers by Silvia Valeroback

2013
S. Valero, Salembier, P., and Chanussot, J., “Object recognition in urban hyperspectral images using binary partition tree representation”, in IEEE International Geoscience and Remote Sensing Symposium, IGARSS'2013, Melbourne, Australia, 2013. (498.43 KB)
2011
J. Benediktsson, Bruzzone, L., Chanussot, J., Dalla Mura, M., Salembier, P., and Valero, S., “Hierarchical analysis of remote sensing data: morphological attribute profiles and binary partition trees”, in International Symposium on Mathematical Morphology 2011, Intra, Lake Maggiore, Italy, 2011, pp. 306–319. (394.77 KB)
S. Valero, Salembier, P., and Chanussot, J., “Arbre de partition binaire: un nouvel outil pour la représentation hiérarchique et l'analyse des images hyperspectrales”, in XXIIIè Colloque sur le Traitement du Signal et des Images, GRETSI 2011, Bordeaux, France, 2011, pp. 120–125. (859.78 KB)
S. Valero, Salembier, P., and Chanussot, J., “Hyperspectral image segmentation using binary partition trees”, in IEEE International Conference on Image Processing, ICIP 2011, Brussels, Belgium, 2011, pp. 1273–1276. (669.46 KB)
S. Valero, Salembier, P., Chanussot, J., and Cuadres, C., “Improved binary partition tree construction for hyperspectral images: application to object detection”, in IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011, Vancouver, Canada, 2011, pp. 2515–2518. (334.11 KB)
2010
S. Valero, Salembier, P., and Chanussot, J., “New hyperspectral data representation using binary partition tree”, in IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010, Honolulu, USA, 2010, pp. 80–83. (120 KB)
S. Valero, Salembier, P., and Chanussot, J., “Comparison of merging orders and pruning strategies for binary partition tree in hyperspectral data”, in IEEE International Conference on Image Processing, ICIP 2010, Hong Kong, China, 2010, pp. 2565–2568. (142.72 KB)
C. Cuadras, Valero, S., Salembier, P., and Chanussot, J., “Some measures of multivariate association relating two spectral data sets”, in 19th International Conference on Computational Statistics, COMSTAT 2010, Paris, France, 2010.