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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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Bibliografiske detaljer
Udgivet i:Comput Intell Neurosci
Main Authors: Li, Yanyi, Wang, Jian, Gao, Tong, Sun, Qiwen, Zhang, Liguo, Tang, Mingxiu
Format: Artigo
Sprog:Inglês
Udgivet: Hindawi 2020
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7482030/
https://ncbi.nlm.nih.gov/pubmed/32952545
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2020/8886932
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