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Fast principal component analysis for hyperspectral imaging based on cloud computing.

, , , , , and . IGARSS, page 513-516. IEEE, (2015)

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HyperMix: A new tool for quantitative evaluation of end member identification and spectral unmixing techniques., , and . IGARSS, page 1393-1396. IEEE, (2012)Spatial-spectral endmember extraction from hyperspectral imagery using multi-band morphology and volume optimization., , and . ICIP, page 3721-3724. IEEE, (2009)Analysis of Different Strategies for Incorporating Spatial Information in the Design of Endmember Extraction Algorithms from Hyperspectral Data., , and . IGARSS (4), page 877-880. IEEE, (2009)Parallel hyperspectral image compression using iterative error analysis on graphics processing units., and . IGARSS, page 3474-3477. IEEE, (2012)Parallel Implementation of Sparse Representation Classifiers for Hyperspectral Imagery on GPUs., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 8 (6): 2912-2925 (2015)Cloud Implementation of a Full Hyperspectral Unmixing Chain Within the NASA Web Coverage Processing Service for EO-1., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 6 (2-1): 408-418 (2013)Performance of Change Detection Algorithms Using Heterogeneous Images and Extended Multi-attribute Profiles (EMAPs)., , , , , and . Remote. Sens., 11 (20): 2377 (2019)GPU Implementation of an Automatic Target Detection and Classification Algorithm for Hyperspectral Image Analysis., , , and . IEEE Geosci. Remote. Sens. Lett., 10 (2): 221-225 (2013)GPU Parallel Implementation of Spatially Adaptive Hyperspectral Image Classification., , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 11 (4): 1131-1143 (2018)Inference in Supervised Spectral Classifiers for On-Board Hyperspectral Imaging: An Overview., , , , and . Remote. Sens., 12 (3): 534 (2020)