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Data dependent adaptation for improved classification of hyperspectral imagery.

, , , and . IGARSS, page 68-71. IEEE, (2010)

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Transformation learning based domain adaptation for robust classification of disparate hyperspectral data., and . IGARSS, page 3640-3643. IEEE, (2017)Utilization of Local and Global Hyperspectral Features via Wavelet Packets and Multiclassifiers for Robust Target Recognition., , , and . IGARSS (3), page 825-828. IEEE, (2009)Compressive data fusion for multi-sensor image analysis., , and . ICIP, page 5032-5036. IEEE, (2014)High accuracy decoding of user intentions using EEG to control a lower-body exoskeleton., , , and . EMBC, page 5606-5609. IEEE, (2013)Robust sub-pixel hyperspectral classification via locality preserving feature extraction and a dirichlet process mixture model., , and . WHISPERS, page 1-4. IEEE, (2013)Region growing based joint sparsity model for hyperspectral image analysis., and . WHISPERS, page 1-4. IEEE, (2013)Rotation invariance through structured sparsity for robust hyperspectral image classification., , , and . ICASSP, page 6205-6209. IEEE, (2017)Voxelization of full waveform LiDAR data for fusion with Hyperspectral Imagery., , and . IGARSS, page 3407-3410. IEEE, (2013)Wavelet domain active learning for robust classification of full-waveform LiDAR data., , and . IGARSS, page 3566-3569. IEEE, (2014)Hyperspectral feature space partitioning via mutual information for data fusion., and . IGARSS, page 4846-4849. IEEE, (2007)