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HyperSpectral classification with adaptively weighted L1-norm regularization and spatial postprocessing
Sparse regression methods have been proven effective in a wide range of signal processing problems such as image compression, speech coding, channel equalization, linear regression and classification.
General Classification
Hyperspectral Image Classification
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