Endmember extraction from hyperspectral imagery based on QR factorisation using givens rotations | |
Gan, Yuquan1,2; Hu, Bingliang1; Liu, Weihua1; Wang, Shuang1; Zhang, Geng1; Feng, Xiangpeng1; Wen, Desheng1 | |
作者部门 | 光谱成像技术研究室 |
2019 | |
发表期刊 | IET IMAGE PROCESSING |
ISSN | 1751-9659;1751-9667 |
卷号 | 13期号:2页码:332-343 |
产权排序 | 1 |
摘要 | Hyperspectral images are mixtures of spectra of materials in a scene. Accurate analysis of hyperspectral image requires spectral unmixing. The result of spectral unmixing is the material spectral signatures and their corresponding fractions. The materials are called endmembers. Endmember extraction equals to acquire spectral signatures of the materials. In this study, the authors propose a new hyperspectral endmember extraction algorithm for hyperspectral image based on QR factorisation using Givens rotations (EEGR). Evaluation of the algorithm is demonstrated by comparing its performance with two popular endmember extraction methods, which are vertex component analysis (VCA) and maximum volume by householder transformation (MVHT). Both simulated mixtures and real hyperspectral image are applied to the three algorithms, and the quantitative analysis of them is presented. EEGR exhibits better performance than VCA and MVHT. Moreover, EEGR algorithm is convenient to implement parallel computing for real-time applications based on the hardware features of Givens rotations. |
关键词 | geophysical image processing feature extraction hyperspectral imaging spectral analysis hyperspectral imagery QR factorisation givens rotations spectral unmixing material spectral signatures hyperspectral endmember extraction algorithm popular endmember extraction methods EEGR vertex component analysis VCA maximum volume by householder transformation MVHT hardware features |
DOI | 10.1049/iet-ipr.2018.5079 |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000459477400013 |
出版者 | INST ENGINEERING TECHNOLOGY-IET |
EI入藏号 | 20190906561915 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/31168 |
专题 | 光谱成像技术研究室 |
通讯作者 | Hu, Bingliang |
作者单位 | 1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Key Lab Spectral Imaging Technol, 17 Xinxi Rd, Xian, Shaanxi, Peoples R China 2.Univ Chinese Acad Sci, 19 Yuquan Rd, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Gan, Yuquan,Hu, Bingliang,Liu, Weihua,et al. Endmember extraction from hyperspectral imagery based on QR factorisation using givens rotations[J]. IET IMAGE PROCESSING,2019,13(2):332-343. |
APA | Gan, Yuquan.,Hu, Bingliang.,Liu, Weihua.,Wang, Shuang.,Zhang, Geng.,...&Wen, Desheng.(2019).Endmember extraction from hyperspectral imagery based on QR factorisation using givens rotations.IET IMAGE PROCESSING,13(2),332-343. |
MLA | Gan, Yuquan,et al."Endmember extraction from hyperspectral imagery based on QR factorisation using givens rotations".IET IMAGE PROCESSING 13.2(2019):332-343. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Endmember extraction(2947KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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