中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Comparison of Tree Species Classifications at the Individual Tree Level by Combining ALS Data and RGB Images Using Different Algorithms

文献类型:期刊论文

作者Deng, Songqiu1; Katoh, Masato1; Yu, Xiaowei2; Hyyppa, Juha2; Gao, Tian3
刊名REMOTE SENSING
出版日期2016-12-01
期号12
关键词forest resource measurement airborne laser scanning RGB imagery individual tree detection tree crown-based classification machine learning approaches
WOS记录号WOS:000392489400063
源URL[http://210.72.129.5/handle/321005/86548]  
专题沈阳应用生态研究所_沈阳应用生态研究所_期刊论文
作者单位1.Shinshu Univ, Inst Mt Sci, Nagano 3994598, Japan
2.Finnish Geospatial Res Inst, Geodeetinrinne 2, Masala 02430, Finland
3.Chinese Acad Sci, Inst Appl Ecol, Key Lab Forest Ecol & Management, Shenyang 110016, Peoples R China
推荐引用方式
GB/T 7714
Deng, Songqiu,Katoh, Masato,Yu, Xiaowei,et al. Comparison of Tree Species Classifications at the Individual Tree Level by Combining ALS Data and RGB Images Using Different Algorithms[J]. REMOTE SENSING,2016(12).
APA Deng, Songqiu,Katoh, Masato,Yu, Xiaowei,Hyyppa, Juha,&Gao, Tian.(2016).Comparison of Tree Species Classifications at the Individual Tree Level by Combining ALS Data and RGB Images Using Different Algorithms.REMOTE SENSING(12).
MLA Deng, Songqiu,et al."Comparison of Tree Species Classifications at the Individual Tree Level by Combining ALS Data and RGB Images Using Different Algorithms".REMOTE SENSING .12(2016).

入库方式: OAI收割

来源:沈阳应用生态研究所

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