DocumentCode :
497093
Title :
Estimate the Number of Endmembers for Hyperspectral Imagery
Author :
Chen Wei ; Yu Xu-chu ; Wang He
Author_Institution :
Inst. of surveying & mapping, Inf. Eng. Univ., Zhengzhou, China
Volume :
1
fYear :
2009
fDate :
4-5 July 2009
Firstpage :
391
Lastpage :
394
Abstract :
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 the 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.
Keywords :
geophysical signal processing; image processing; remote sensing; PHI; endmembers number estimation; hyperspectral imagery; orthogonal subspace projection; Electronic mail; Geology; Helium; Hyperspectral imaging; Hyperspectral sensors; Knowledge engineering; Layout; Noise reduction; Remote sensing; Vectors; Denoising; Endmember; Hyperspectral Imagery; Linear Mixture Model; OSP;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
Type :
conf
DOI :
10.1109/ESIAT.2009.366
Filename :
5200145
Link To Document :
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