Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging (EI收录) | |
Zabalza, Jaime[1]; Ren, Jinchang[1]; Zheng, Jiangbin[2]; Zhao, Huimin[3]; Qing, Chunmei[4]; Yang, Zhijing[5]; Du, Peijun[6]; Marshall, Stephen[1] | |
刊名 | Neurocomputing |
2016 | |
卷号 | 185页码:1-10 |
关键词 | Abstracting Classification (of information) Extraction Feature extraction Learning systems Remote sensing Spectroscopy |
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/2192973 |
专题 | 华南理工大学 |
作者单位 | 1.[1] Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, United Kingdom 2.[2] School of Microelectronics and Software, Northwestern Polytechnical University, Xi'an, China 3.[3] School of Electronic and Information, Guangdong Technic Normal University, Guangzhou, China 4.[4] School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China 5.[5] School of Information Engineering, Guangdong University of Technology, Guangzhou, China 6.[6] Dept. of Geographical Information, Nanjing University, Nanjing, China |
推荐引用方式 GB/T 7714 | Zabalza, Jaime[1],Ren, Jinchang[1],Zheng, Jiangbin[2],等. Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging (EI收录)[J]. Neurocomputing,2016,185:1-10. |
APA | Zabalza, Jaime[1].,Ren, Jinchang[1].,Zheng, Jiangbin[2].,Zhao, Huimin[3].,Qing, Chunmei[4].,...&Marshall, Stephen[1].(2016).Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging (EI收录).Neurocomputing,185,1-10. |
MLA | Zabalza, Jaime[1],et al."Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging (EI收录)".Neurocomputing 185(2016):1-10. |
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