Identification of Bamboo Species Based on Extreme Gradient Boosting (XGBoost) Using Zhuhai-1 Orbita Hyperspectral Remote Sensing Imagery.

Zhou, Guoli; Ni, Zhongyun; Zhao, Yinbing; Luan, Junwei

Zhou, Guoli; Ni, Zhongyun; Zhao, Yinbing; Luan, Junwei.

Afiliação

Zhou G; College of Tourism and Urban-Rural Planning, Chengdu University of Technology, Chengdu 610059, China.
Ni Z; College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China.
Zhao Y; Key Laboratory of National Forestry and Grassland Administration/Beijing for Bamboo & Rattan Science and Technology, Institute of Resources and Environment, International Centre for Bamboo and Rattan, Beijing 100102, China.
Luan J; College of Tourism and Urban-Rural Planning, Chengdu University of Technology, Chengdu 610059, China.

Sensors (Basel) ; 22(14)2022 Jul 20.

Article em En | MEDLINE | ID: mdl-35891113

Assuntos

Imageamento Hiperespectral; Tecnologia de Sensoriamento Remoto; China

Palavras-chave

SAM; Southern Sichuan Bamboo Sea; XGBoost; classification; random forest

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tecnologia de Sensoriamento Remoto / Imageamento Hiperespectral Tipo de estudo: Diagnostic_studies / Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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