Art

J-GLOBAL ID：201902283007266117   Reference number：19A2871613

Research on leaf species identification based on principal component and linear discriminant analysis

主成分と線形判別分析に基づく葉種同定に関する研究【JST・京大機械翻訳】

Author (6)： Zhang Lu (School of Technology, Beijing Forestry University, Beijing, China) ,  Zheng Yili (School of Technology, Beijing Forestry University, Beijing, China) ,  Zhong Gangliang (School of Technology, Beijing Forestry University, Beijing, China) ,  Zhong Gangliang (Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, China) ,  Wang Qiang (School of Technology, Beijing Forestry University, Beijing, China) ,  Wang Qiang (Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, China)
Material： Cluster Computing
Volume： 22  Issue： Supplement 4  Page： 7795-7804  Publication year： 2019 
JST Material Number： W4172A  ISSN： 1386-7857  Document type： Article
Article type： 原著論文  Country of issue： Germany, Federal Republic of (DEU)  Language： ENGLISH (EN)

Abstract/Point： A method of leaf species ident...

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Thesaurus term： *feature extraction ,  camera ,  binary image ,  pretreatment ,  fractal dimension ,  effectiveness ,  structural property ,  principal component analysis ,  wormhole ,  neural network(network) ,  petiole
Semi thesaurus term： 逆伝播ニューラルネットワーク ,  共起行列 ,  テクスチャ特徴 ,  *線形判別分析 , 【Automatic Indexing@JST】

Author keywords (4)： Leaf species identification ,  Principal component analysis ,  Linear discriminant analysis ,  Back Propagation Neural Network

JST classification (2)： Pattern recognition  (JE07000S) ,  Graphic and image processing in general  (JE04010I)

Terms in the title (4)： 線形判別分析 ,  葉 ,  種同定 ,  研究