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To solve the problem of low detection efficiency of present hyperspectral band selection methods, a new band selection method based on curve area and genetic theory (CAGT) is proposed in this paper. Primarily, the method uses the area under the Receiver Operating Characteristic (ROC) curve as a band selection criterion to measure the target detection effect of the band; then construct fitness function...
Hyperspectral data cube usually includes hundreds of high-correlated single band images. It is necessary to reduce the dimensionality of hyperspectral images to facilitate the studies and analysis. This paper presents an adaptive non-dominated sorting genetic algorithm to process the wavelength combination of molecular hyperspectral images. In this algorithm, dynamic reproduction probabilities are...
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