Hyperspectral Image Classification Using Kernel Fused Representation via a Spatial-Spectral Composite Kernel With Ideal Regularization
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DOI: 10.1109/lgrs.2019.2898913
Abstract: To adequately exploit spectral, spatial, and label information of the given hyperspectral data, a kernel fused representation-based classifier via a spatial-spectral composite kernel with ideal regularization (CKIR) method is proposed in this letter. Specifically, the… read more here.
Keywords: representation; representation based; via spatial; fused representation ... See more keywords