文献
J-GLOBAL ID:202102290191570375
整理番号:21A2342253
アンサンブル機械学習法を用いたマングローブ種のマッピングのためのGF-2とRapidEye衛星データの結合【JST・京大機械翻訳】
Combining GF-2 and RapidEye satellite data for mapping mangrove species using ensemble machine-learning methods
著者 (6件):
Peng Liheng
(Guangdong Key Laboratory for Urbanization and Geo-Simulation, Guangdong Provincial Engineering Research Center for Public Security and Disaster, School of Geography and Planning, Sun Yat-sen University, Guangzhou, Guangdong, China)
,
Liu Kai
(Guangdong Key Laboratory for Urbanization and Geo-Simulation, Guangdong Provincial Engineering Research Center for Public Security and Disaster, School of Geography and Planning, Sun Yat-sen University, Guangzhou, Guangdong, China)
,
Cao Jingjing
(Guangdong Key Laboratory for Urbanization and Geo-Simulation, Guangdong Provincial Engineering Research Center for Public Security and Disaster, School of Geography and Planning, Sun Yat-sen University, Guangzhou, Guangdong, China)
,
Zhu Yuanhui
(Center of Geo-Informatics for Public Security, School of Geographic Sciences, Guangzhou University, Guangzhou, China)
,
Li Fengshou
(Guangdong Key Laboratory for Urbanization and Geo-Simulation, Guangdong Provincial Engineering Research Center for Public Security and Disaster, School of Geography and Planning, Sun Yat-sen University, Guangzhou, Guangdong, China)
,
Liu Lin
(Center of Geo-Informatics for Public Security, School of Geographic Sciences, Guangzhou University, Guangzhou, China)
資料名:
International Journal of Remote Sensing
(International Journal of Remote Sensing)
巻:
41
号:
3
ページ:
813-838
発行年:
2020年
JST資料番号:
B0645B
ISSN:
0143-1161
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)