An Efficient Method of Hyperspectral Image Dimension Reduction Based on Low Rank Representation and Locally Linear Embedding
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DOI: 10.1080/10584587.2020.1728626
Abstract: Abstract Hyperspectralimages (HSIs) can provide powerful spectral discriminative information for the land-covers, thus is widely used in classification and target detection. However, HSIs always suffer from the curse of high dimensionality due the high spectral… read more here.
Keywords: rank representation; dimension; representation locally; dimension reduction ... See more keywords