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
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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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