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J-GLOBAL ID：201702237929845836   Reference number：17A0105696

Plot-level Forest Height Inversion Using Airborne LiDAR Data Based on the Random Forest

ランダム森林アルゴリズムによる航空機搭載LIDARデータ林分の平均樹高推定における応用研究【JST・京大機械翻訳】

Author (5)： Lu Lin (Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, National Engineering Research Center of Geospatial Information Technology, Fuzhou University) ,  Zhou Xiaocheng (Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, National Engineering Research Center of Geospatial Information Technology, Fuzhou University) ,  Yu Zhizhong (Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, National Engineering Research Center of Geospatial Information Technology, Fuzhou University) ,  Han Shang (Institute of Surveying and Mapping of Fujian Province) ,  Wang Xiaoqin (Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, National Engineering Research Center of Geospatial Information Technology, Fuzhou University)
Material： Diqiu Xinxi Kexue Xuebao
Volume： 18  Issue： 8  Page： 1133-1140  Publication year： 2016 
JST Material Number： C2670A  ISSN： 1560-8999  Document type： Article
Article type： 原著論文  Country of issue： China (CHN)  Language： CHINESE (ZH)

Abstract/Point： It has been a hot study field ...

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Thesaurus term： watershed ,  eigenvalue ,  correlation coefficient ,  *tree height ,  regression model ,  *forest stand ,  point group ,  structural parameter ,  linearity ,  normalization ,  remote sensing ,  estimated accuracy ,  *Laser Imaging Detection and Ranging data ,  *aircraft installation
Semi thesaurus term： *ランダムフォレスト , 【Automatic Indexing@JST】

Author keywords (5)： airborne LiDAR ,  random forest ,  forest structural parameters ,  Zhuxi river basin ,  average tree height

JST classification (1)： Remote sensing in general  (AD04000L)

Terms in the title (10)： 森林 ,  アルゴリズム ,  航空機搭載 ,  LIDARデータ ,  林分 ,  平均 ,  樹高 ,  推定 ,  応用 ,  研究