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Object recognition in urban hyperspectral images using binary partition tree representation. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS'2013. Melbourne, Australia: IEEE; 2013.
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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)
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Hyperspectral image representation and Processing with Binary Partition Trees. . Universitat Politècnica de Catalunya (UPC); 2011.
(20.92 MB)
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Hyperspectral image segmentation using binary partition trees. In IEEE International Conference on Image Processing, ICIP 2011. Brussels, Belgium; 2011. pp. 1273–1276.
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Hyperspectral image representation and processing with Binary Partition Trees. IEEE Transactions on Image Processing. 2013;22(4):1430 - 1443.
(1.81 MB)
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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)
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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)
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Object recognition in hyperspectral images using Binary Partition Tree representation. Pattern Recognition Letters. 2015;56:45-51.
(1.75 MB)
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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)
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