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@article{bb109001,
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Information for Robust Hyperspectral Land Cover Classification",
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@article{bb109002,
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@article{bb109003,
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@article{bb109004,
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@article{bb109005,
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@inproceedings{bb109007,
        AUTHOR = "Mianji, F.A. and Zhang, Y.",
        TITLE = "Improved hyperspectral land-cover analysis using relevance vector
machine",
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@article{bb109008,
        AUTHOR = "McGwire, K.C. and Minor, T.B. and Schultz, B.W.",
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@article{bb109009,
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@article{bb109010,
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        AUTHOR = "Tran, T.D. and Nasrabadi, N.M. and Chen, Y.",
        TITLE = "Hyperspectral Image Classification via Kernel Sparse Representation",
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@article{bb109012,
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        TITLE = "FPGA Implementation of the N-FINDR Algorithm for Remotely Sensed
Hyperspectral Image Analysis",
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@article{bb109013,
        AUTHOR = "Li, C. and Gao, L. and Plaza, A. and Zhang, B.",
        TITLE = "FPGA implementation of a maximum simplex volume algorithm for endmember
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@article{bb109014,
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A Review of Their Benefits and Advantages",
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        NUMBER = "3",
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@article{bb109015,
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@article{bb109016,
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        TITLE = "A Fast and Robust Sparse Approach for Hyperspectral Data Classification
Using a Few Labeled Samples",
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@article{bb109017,
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@article{bb109018,
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@article{bb109019,
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@article{bb109020,
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@article{bb109021,
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@article{bb109022,
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@article{bb109023,
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@article{bb109024,
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@article{bb109025,
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@article{bb109026,
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@article{bb109029,
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@article{bb109030,
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@article{bb109031,
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@article{bb109032,
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@article{bb109033,
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@article{bb109035,
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@article{bb109037,
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@inproceedings{bb109038,
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hyperspectral target detection",
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@article{bb109041,
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@article{bb109042,
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@article{bb109043,
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@article{bb109044,
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        AUTHOR = "Tuia, D. and Flamary, R. and Rakotomamonjy, A. and Courty, N.",
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@article{bb109046,
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@article{bb109047,
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@article{bb109048,
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@article{bb109049,
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@inproceedings{bb109050,
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@inproceedings{bb109051,
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@article{bb109052,
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@article{bb109053,
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@article{bb109054,
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@article{bb109055,
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@article{bb109058,
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@article{bb109060,
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@article{bb109063,
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@article{bb109064,
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Finding Unsupervised Targets in Hyperspectral Imagery",
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@article{bb109065,
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@article{bb109066,
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@article{bb109067,
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multi-decision labeling and deep feature learning",
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@article{bb109068,
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in-scene information",
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@article{bb109069,
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@article{bb109070,
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@article{bb109071,
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Hyperspectral Image Classification",
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@article{bb109072,
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@article{bb109073,
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@article{bb109074,
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@article{bb109076,
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classification of hyperspectral images",
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@inproceedings{bb109088,
        TITLE = "Hyperspectral imaging: defense technology transfers 
into commercial applications",
        BOOKTITLE = SPIE,
        VOLUME = "Newsroom",
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Orthogonal Complement Subspace Projection",
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@article{bb109098,
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@article{bb109099,
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Last update:May 10, 2021 at 18:51:10