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Hyperspectral image segmentation using a new spectral mixture-based binary partition tree representation.

, , , , and . ICIP, page 245-249. IEEE, (2013)

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Validation of a Hyperspectral Content-Based Information Retrieval (RS-CBIR) System Upon Scarce Data., and . SOCO, volume 87 of Advances in Intelligent and Soft Computing, page 47-56. Springer, (2011)On hyperspectral morphology by lattice auto-associative memories supervised orderings.. KES, volume 243 of Frontiers in Artificial Intelligence and Applications, page 2122-2129. IOS Press, (2012)Binary Partition Trees-Based Spectral-Spatial Permutation Ordering., , , and . ISMM, volume 9082 of Lecture Notes in Computer Science, page 434-445. Springer, (2015)Snow cover estimation based on spectral unmixing., , , , , , and . WHISPERS, page 1-5. IEEE, (2016)A Spectral/Spatial CBIR System for Hyperspectral Images., and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 5 (2): 488-500 (2012)Multilinear spectral unmixing of hyperspectral multiangle images., , , , , and . EUSIPCO, page 744-748. IEEE, (2015)Binary partition tree-based local spectral unmixing., , , , , , and . WHISPERS, page 1-4. IEEE, (2014)Super-resolution of hyperspectral images using local spectral unmixing., , , , and . WHISPERS, page 1-4. IEEE, (2014)Hyperspectral super-resolution of locally low rank images from complementary multisource data., , , , and . ICIP, page 703-707. IEEE, (2014)Hyperspectral image segmentation using a new spectral mixture-based binary partition tree representation., , , , and . ICIP, page 245-249. IEEE, (2013)