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A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data.

, , , and . IEEE Trans. Geosci. Remote. Sens., 42 (3): 650-663 (2004)

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On the use of small training sets for neural network-based characterization of mixed pixels in remotely sensed hyperspectral images., , , and . Pattern Recognit., 42 (11): 3032-3045 (2009)Parallel Endmember Extraction Techniques Applied to a Self-Organizing Neural Network for Hyperspectral Image Classification., , , , , and . PARCO, volume 33 of John von Neumann Institute for Computing Series, page 591-598. Central Institute for Applied Mathematics, Jülich, Germany, (2005)Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations., , , and . IEEE Trans. Geosci. Remote. Sens., 43 (3): 466-479 (2005)H-COMP: a tool for quantitative and comparative analysis of endmember identification algorithms., , , and . IGARSS, page 291-293. IEEE, (2003)A new approach to mixed pixel classification of hyperspectral imagery based on extended morphological profiles., , , and . Pattern Recognit., 37 (6): 1097-1116 (2004)Classifying gestures by using a self-organizing neural network., , , and . KES, page 796-799. IEEE, (2000)A new method for target detection in hyperspectral imagery based on extended morphological profiles., , , and . IGARSS, page 3772-3774. IEEE, (2003)Optimization of Processor-to-Hardware Module Communications on Spaceborne Hybrid FPGA-based Architectures., , , , and . IEEE Embed. Syst. Lett., 5 (4): 77-80 (2013)Parallel morphological/neural processing of hyperspectral images using heterogeneous and homogeneous platforms., , , , and . Clust. Comput., 11 (1): 17-32 (2008)A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data., , , and . IEEE Trans. Geosci. Remote. Sens., 42 (3): 650-663 (2004)