Spectral region identification versus individual channel selection in supervised dimensionality reduction of hyperspectral image data
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DOI: 10.1117/1.jrs.11.046010
Abstract: Abstract. Hyperspectral images may be applied to classify objects in a scene. The redundancy in hyperspectral data implies that fewer spectral features might be sufficient for discriminating the objects captured in a scene. The availability… read more here.
Keywords: reduction; spectral regions; selection; dimensionality reduction ... See more keywords