中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Optimized maximum noise fraction for dimensionality reduction of Chinese HJ-1A hyperspectral data

文献类型:期刊论文

作者Gao, Lianru ; Zhang, Bing ; Sun, Xu ; Li, Shanshan ; Du, Qian ; Wu, Changshan
刊名Eurasip Journal on Advances in Signal Processing
出版日期2013
卷号12
ISSN号1687-6180
收录类别SCI ; EI
语种英语
公开日期2014-12-07
源URL[http://ir.ceode.ac.cn/handle/183411/28492]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
推荐引用方式
GB/T 7714
Gao, Lianru,Zhang, Bing,Sun, Xu,et al. Optimized maximum noise fraction for dimensionality reduction of Chinese HJ-1A hyperspectral data[J]. Eurasip Journal on Advances in Signal Processing,2013,12.
APA Gao, Lianru,Zhang, Bing,Sun, Xu,Li, Shanshan,Du, Qian,&Wu, Changshan.(2013).Optimized maximum noise fraction for dimensionality reduction of Chinese HJ-1A hyperspectral data.Eurasip Journal on Advances in Signal Processing,12.
MLA Gao, Lianru,et al."Optimized maximum noise fraction for dimensionality reduction of Chinese HJ-1A hyperspectral data".Eurasip Journal on Advances in Signal Processing 12(2013).

入库方式: OAI收割

来源:遥感与数字地球研究所

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