Research on Endmember Extraction Algorithm Based on Spectral Classification

doi:10.3964/j.issn.1000-0593(2011)07-1995-04

OPT OpenIR > 光谱成像技术研究室

	Research on Endmember Extraction Algorithm Based on Spectral Classification
其他题名	基于光谱分类的端元提取算法研究
	Gao Xiao-hui1,3 ; Xiangli Bin 2; Wei Ru-yi1,3 ; Lue Qun-bo 2; Wei Jun-xia 1,3
	2011-07-01
发表期刊	SPECTROSCOPY AND SPECTRAL ANALYSIS
卷号	31 期号:7 页码:1995-1998
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.
文章类型	Article
关键词	Hyperspectral Remote Sensing Spectral Unmixing Spectral Redundancy Spectral Classification
WOS标题词	Science & Technology ; Technology
DOI	10.3964/j.issn.1000-0593(2011)07-1995-04
收录类别	SCI ; EI
关键词[WOS]	HYPERSPECTRAL DATA
语种	中文
WOS研究方向	Spectroscopy
WOS类目	Spectroscopy
WOS记录号	WOS:000292575600057
引用统计
文献类型	期刊论文
条目标识符	http://ir.opt.ac.cn/handle/181661/25327
专题	光谱成像技术研究室
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.

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基于光谱分类的端元提取算法研究.pdf（547KB）	期刊论文	出版稿	限制开放	CC BY-NC-SA	请求全文