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Remote Sensing Imagery",
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for Hyperspectral Remote Sensing Data",
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@article{bb101768,
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Hyperspectral Remote Sensing Imagery",
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@article{bb101769,
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Multi-/Hyperspectral Remote Sensing Imagery",
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@article{bb101770,
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Imagery",
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@article{bb101772,
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Features For Remote Sensing Image Classification",
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@article{bb101774,
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Spectral-Spatial Feature Extraction",
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@article{bb101776,
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Supervised Metric Learning",
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Hyperspectral Images",
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Representation and Multi-Task Learning with Locality Information",
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@article{bb101779,
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hyperspectral images",
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Metric Learning with Local Constraints",
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@article{bb101781,
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        TITLE = "A robust background regression based score estimation algorithm for
hyperspectral anomaly detection",
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@article{bb101782,
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        TITLE = "Domain Adaptation for Remote Sensing Image Classification: A Low-Rank
Reconstruction and Instance Weighting Label Propagation Inspired
Algorithm",
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@article{bb101783,
        AUTHOR = "Zhang, Y.X. and Du, B. and Zhang, L.P.",
        TITLE = "A Sparse Representation-Based Binary Hypothesis Model for Target
Detection in Hyperspectral Images",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern615d1.html#TT98227"}

@article{bb101784,
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        TITLE = "Beyond the Sparsity-Based Target Detector: A Hybrid Sparsity and
Statistics-Based Detector for Hyperspectral Images",
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        NUMBER = "11",
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@article{bb101785,
        AUTHOR = "Zhang, Y.X. and Du, B. and Zhang, L.P. and Wang, S.",
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Method for Hyperspectral Anomaly Detection",
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@article{bb101786,
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@article{bb101787,
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via Discriminative Sparse Multimodal Learning",
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@article{bb101788,
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@article{bb101790,
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using wavelet packets, neighbour shrinking and
principal component analysis",
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@article{bb101791,
        AUTHOR = "Chen, G. and Qian, S.E.",
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yperspectral imagery using bivariate wavelet shrinking and PCA",
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@inproceedings{bb101792,
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@inproceedings{bb101793,
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redesigning the satellite",
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@article{bb101794,
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and Wavelet Shrinkage",
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@article{bb101795,
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@article{bb101796,
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@article{bb101797,
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Classification Purposes",
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@article{bb101798,
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@article{bb101799,
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Hyperspectral Signatures",
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Last update:Dec 23, 2019 at 15:47:08