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Estimate the Number of Endmembers for Hyperspectral Imagery

被引：0
|
作者：
Chen Wei [1 ]
Yu Xu-chu [1 ]
Wang He [2 ]
机构：
[1] Informat Engn Univ, Inst Surveying & Mapping, Zhengzhou, Peoples R China
[2] Digital LandView Technol Com Ltd, Beijing, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY,VOL I, PROCEEDINGS | 2009年
关键词：
Hyperspectral Imagery; Endmember; OSP; Denoising; Linear Mixture Model; NOISE;
D O I：
10.1109/ESIAT.2009.366
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In practice, the determination of the number of endmembers for hyperspectral images of the areas without priori knowledge is highly difficult. This article brings forward an automatic method, which can estimate the number of endmembers for hyperspectral imagery without priori knowledge of lite area, according to the theory of Orthogonal subspace projection (OSP). The paper carries out the experiments by synthetic hyperspectral data and real hyperspectral image collected by PHI, and the result of the experiment is satisfying.
引用
收藏
页码：391 / +
页数：3
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