Dimensionality reduction based on parallel factor analysis model and independent component analysis method | |
Yan, Ronghua1,2; Peng, Jinye1,3; Ma, Dongmei4 | |
作者部门 | 空间光学技术研究室 |
2019-03-29 | |
发表期刊 | JOURNAL OF APPLIED REMOTE SENSING |
ISSN | 1931-3195 |
卷号 | 13期号:1 |
产权排序 | 1 |
摘要 | In hyperspectral image (HSI) analysis, dimensionality reduction is a preprocessing step for HSI classification. Independent component analysis (ICA) reduces the spectral dimension and does not utilize the spatial information of the HSI. To solve it, tensor decompositions have been successfully applied to joint noise reduction in spatial and spectral dimensions of HSIs, such as parallel factor analysis (PARAFAC). However, the PARAFAC method does not reduce the dimension in the spectral dimension. We proposed a method to improve it, which combines ICA and PARAFAC to reduce both the dimension in the spectral dimension and the noise in the spatial and spectral dimensions. The experimental results indicate that this method improves the classification compared with the previous methods. (C) 2019 Society of Photo-Optical Instrumentation Engineers (SPIE) |
关键词 | dimensionality reduction tensor processing hyperspectral image parallel factor analysis independent component analysis |
DOI | 10.1117/1.JRS.13.014532 |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000463292300001 |
出版者 | SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS |
EI入藏号 | 20191606775115 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/31366 |
专题 | 空间光学技术研究室 |
通讯作者 | Yan, Ronghua |
作者单位 | 1.Northwestern Polytech Univ, Sch Elect & Informat, Xian, Shaanxi, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian, Shaanxi, Peoples R China 3.Northwest Univ, Sch Informat & Technol, Xian, Shaanxi, Peoples R China 4.Xian Janssen Pharmaceut Ltd, Xian, Shaanxi, Peoples R China |
推荐引用方式 GB/T 7714 | Yan, Ronghua,Peng, Jinye,Ma, Dongmei. Dimensionality reduction based on parallel factor analysis model and independent component analysis method[J]. JOURNAL OF APPLIED REMOTE SENSING,2019,13(1). |
APA | Yan, Ronghua,Peng, Jinye,&Ma, Dongmei.(2019).Dimensionality reduction based on parallel factor analysis model and independent component analysis method.JOURNAL OF APPLIED REMOTE SENSING,13(1). |
MLA | Yan, Ronghua,et al."Dimensionality reduction based on parallel factor analysis model and independent component analysis method".JOURNAL OF APPLIED REMOTE SENSING 13.1(2019). |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Dimensionality reduc(4758KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论