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Feature extraction for hyperspectral remote sensing image using weighted PCA-ICA
Liu, Lan[1]; Li, Cheng-fan[2]; Lei, Yong-mei[3]; Yin, Jing-yuan[4]; Zhao, Jun-juan[5]
刊名ARABIAN JOURNAL OF GEOSCIENCES
2017
卷号10
关键词Hyperspectral remote sensing image Principal component analysis Independent component analysis Feature extraction
ISSN号1866-7511
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/2185214
专题上海大学
作者单位1.[1]Shanghai Univ, Sch Comp Engn & Sci, Shanghai 200444, Peoples R China.
2.[2]Shanghai Univ, Sch Comp Engn & Sci, Shanghai 200444, Peoples R China.
3.[3]Shanghai Univ, Sch Comp Engn & Sci, Shanghai 200444, Peoples R China.
4.[4]Earthquake Adm Shanghai Municipal, Shanghai 200062, Peoples R China.
5.[5]Shanghai Univ, Sch Comp Engn & Sci, Shanghai 200444, Peoples R China.
推荐引用方式
GB/T 7714
Liu, Lan[1],Li, Cheng-fan[2],Lei, Yong-mei[3],et al. Feature extraction for hyperspectral remote sensing image using weighted PCA-ICA[J]. ARABIAN JOURNAL OF GEOSCIENCES,2017,10.
APA Liu, Lan[1],Li, Cheng-fan[2],Lei, Yong-mei[3],Yin, Jing-yuan[4],&Zhao, Jun-juan[5].(2017).Feature extraction for hyperspectral remote sensing image using weighted PCA-ICA.ARABIAN JOURNAL OF GEOSCIENCES,10.
MLA Liu, Lan[1],et al."Feature extraction for hyperspectral remote sensing image using weighted PCA-ICA".ARABIAN JOURNAL OF GEOSCIENCES 10(2017).
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