Study on Machine Learning Methods for Vegetation Classification in Typical Humid Mountainous Areas of South China based on the UAV Multispectral Remote Sensing

Nina ZHANG; Ke ZHANG; Yunping LI; Xi LI; Tao LIU

doi:10.11873/j.issn.1004-0323.2023.1.0163

Nina ZHANG,Ke ZHANG,Yunping LI,Xi LI,Tao LIU

Remote Sensing Technology and Application ›› 2023, Vol. 38 ›› Issue (1) : 163-172.

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Remote Sensing Technology and Application ›› 2023, Vol. 38 ›› Issue (1) : 163-172. DOI: 10.11873/j.issn.1004-0323.2023.1.0163

Study on Machine Learning Methods for Vegetation Classification in Typical Humid Mountainous Areas of South China based on the UAV Multispectral Remote Sensing

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2023, 38(1): 163-172 https://doi.org/10.11873/j.issn.1004-0323.2023.1.0163

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Received	Revised	Published
2021-10-27	2022-02-11	2023-02-20
Issue Date
2023-04-12

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