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Adoption of Machine Learning in Intelligent Terrain Classification of Hyperspectral Remote Sensing Images

To overcome the difficulty of automating and intelligently classifying the ground features in remote-sensing hyperspectral images, machine learning methods are gradually introduced into the process of remote-sensing imaging. First, the PaviaU, Botswana, and Cuprite hyperspectral datasets are selecte...

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Detalles Bibliográficos
Autores principales:	Li, Yanyi, Wang, Jian, Gao, Tong, Sun, Qiwen, Zhang, Liguo, Tang, Mingxiu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7482030/ https://www.ncbi.nlm.nih.gov/pubmed/32952545 http://dx.doi.org/10.1155/2020/8886932

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