2021
DOI: 10.1504/ijcsm.2021.10036894
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NRS-CSO: neighbourhood rough set-based cat swarm optimisation algorithms

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“…This is because the collected HSI dataset has a large number of redundant bands, which may affect the effect of the reconstruction algorithm. 80 Band selection technology that can solve this problem efficiently is mainly concentrated in clustering, [81][82][83] machine learning, [84][85][86] deep learning, [87][88][89] nature-inspired learning [90][91][92] and so forth including supervision algorithms, 93,94 unsupervised algorithms, [95][96][97] and semi-supervised algorithms. 98 To sum up, the prediction method in HSI is generalized from video compressive sensing.…”
Section: Hyperspectral Image Reconstruction Using Predictive Methodsmentioning
confidence: 99%
“…This is because the collected HSI dataset has a large number of redundant bands, which may affect the effect of the reconstruction algorithm. 80 Band selection technology that can solve this problem efficiently is mainly concentrated in clustering, [81][82][83] machine learning, [84][85][86] deep learning, [87][88][89] nature-inspired learning [90][91][92] and so forth including supervision algorithms, 93,94 unsupervised algorithms, [95][96][97] and semi-supervised algorithms. 98 To sum up, the prediction method in HSI is generalized from video compressive sensing.…”
Section: Hyperspectral Image Reconstruction Using Predictive Methodsmentioning
confidence: 99%