Unsupervised Hyperspectral Band Selection via Multimodal Evolutionary Algorithm and Subspace Decomposition

Unsupervised band selection is an essential task to search for representative bands in hyperspectral dimension reduction. Most of existing studies utilize the inherent attribute of hyperspectral image (HSI) and acquire single optimal band subset while ignoring the diversity of subsets. Moreover, the...

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Detalles Bibliográficos
Autores principales: Wei, Yunpeng, Hu, Huiqiang, Xu, Huaxing, Mao, Xiaobo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960512/
https://www.ncbi.nlm.nih.gov/pubmed/36850727
http://dx.doi.org/10.3390/s23042129

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960512/
https://www.ncbi.nlm.nih.gov/pubmed/36850727
http://dx.doi.org/10.3390/s23042129

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