Research on Endmember Extraction Algorithm Based on Spectral Classification
文献类型：期刊论文
| 作者 | Gao Xiao-hui1,3 ; Xiangli Bin2; Wei Ru-yi1,3; Lue Qun-bo2; Wei Jun-xia1,3
|
| 刊名 | spectroscopy and spectral analysis
 |
| 出版日期 | 2011-07-01 |
| 卷号 | 31期号:7页码:1995-1998 |
| 关键词 | Hyperspectral remote sensing Spectral unmixing Spectral redundancy Spectral classification |
| 其他题名 | 基于光谱分类的端元提取算法研究 |
| 英文摘要 | spectral unmixing is an important task for data processing of hyperspectral remote sensing, which is comprised of extracting the pure spectra (endmember) and calculating the abundance value of pure spectra. the most efficient endmember extracting algorithms (eeas) is designed based on convexity geometry such as pure pixel index (ppi), n-finder algorithm (n-findr). most eeas choose pure spectra from all pixels of an image so that they have disadvantages like slow processing speed and poor precision. partial algorithms need reducing the spectral dimension, which results in the difficulty in small target identification. this paper proposed an algorithm that classifies the hyperspetral image into some classes with homogeneous spectra and considers the mean spectra of a class as standard spectra for the class, then extracts pure spectrum from all standard spectra of classes. it reduces computation and the effect of system error, enhancing the speed and precision of endmember extraction. using the least squares with constraints on spectral extraction and spectral unmixing, by controlling the band average value of the maximum spectral redundant allowance to control the number of endmembers, does not need to reduce the spectral dimension and predetermine the number of endmembers, so compared to n-finder algorithm, such algorithm is more rational. |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | spectroscopy |
| 研究领域[WOS] | spectroscopy |
| 关键词[WOS] | hyperspectral data |
| 收录类别 | SCI ; EI |
| 语种 | 中文 |
| WOS记录号 | WOS:000292575600057 |
| 公开日期 | 2015-09-29 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/25327]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 作者单位 | 1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China 2.Chinese Acad Sci, Acad Optoelect, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gao Xiao-hui,Xiangli Bin,Wei Ru-yi,et al. Research on Endmember Extraction Algorithm Based on Spectral Classification[J]. spectroscopy and spectral analysis,2011,31(7):1995-1998. |
| APA | Gao Xiao-hui,Xiangli Bin,Wei Ru-yi,Lue Qun-bo,&Wei Jun-xia.(2011).Research on Endmember Extraction Algorithm Based on Spectral Classification.spectroscopy and spectral analysis,31(7),1995-1998. |
| MLA | Gao Xiao-hui,et al."Research on Endmember Extraction Algorithm Based on Spectral Classification".spectroscopy and spectral analysis 31.7(2011):1995-1998. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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