Exploring the Potential of HySpex Hyperspectral Imagery for Extraction of Copper Content.

Jiang, Guo; Zhou, Shuguang; Cui, Shichao; Chen, Tao; Wang, Jinlin; Chen, Xi; Liao, Shibin; Zhou, Kefa

Jiang, Guo; Zhou, Shuguang; Cui, Shichao; Chen, Tao; Wang, Jinlin; Chen, Xi; Liao, Shibin; Zhou, Kefa.

Afiliação

Jiang G; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China.
Zhou S; Xinjiang Key Laboratory of Mineral Resources and Digital Geology, Urumqi 830011, China.
Cui S; Research Centre for Mineral Resources, Chinese Academy of Sciences, Urumqi 830011, China.
Chen T; University of Chinese Academy of Sciences, Beijing 100049, China.
Wang J; State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China.
Chen X; Xinjiang Key Laboratory of Mineral Resources and Digital Geology, Urumqi 830011, China.
Liao S; Research Centre for Mineral Resources, Chinese Academy of Sciences, Urumqi 830011, China.
Zhou K; University of Chinese Academy of Sciences, Beijing 100049, China.

Sensors (Basel) ; 20(21)2020 Nov 06.

Article em En | MEDLINE | ID: mdl-33171902

Palavras-chave

HySpex; geochemistry; partial least square (PLS); spectra transform; wavebands selection

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

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