Using Improved ICA Method for Hyperspectral Data Classification | |
Li, Chengfan[1]; Yin, Jingyuan[2]; Zhao, Junjuan[3] | |
刊名 | ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING |
2014 | |
卷号 | 39页码:181-189 |
关键词 | Remote sensing Hyperspectral data Classification Independent component analysis (ICA) Support vector machine (SVM) FastICA |
ISSN号 | 1319-8025 |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2276644 |
专题 | 上海大学 |
作者单位 | 1.[1]Shanghai Univ, Sch Comp Engn & Sci, Off 805, Shanghai 200444, Peoples R China. 2.[2]Shanghai Univ, Sch Comp Engn & Sci, Off 805, Shanghai 200444, Peoples R China. 3.[3]Shanghai Univ, Sch Comp Engn & Sci, Off 805, Shanghai 200444, Peoples R China. |
推荐引用方式 GB/T 7714 | Li, Chengfan[1],Yin, Jingyuan[2],Zhao, Junjuan[3]. Using Improved ICA Method for Hyperspectral Data Classification[J]. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING,2014,39:181-189. |
APA | Li, Chengfan[1],Yin, Jingyuan[2],&Zhao, Junjuan[3].(2014).Using Improved ICA Method for Hyperspectral Data Classification.ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING,39,181-189. |
MLA | Li, Chengfan[1],et al."Using Improved ICA Method for Hyperspectral Data Classification".ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 39(2014):181-189. |
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