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Proceedings Paper

Improved VCA in hyperspectral image processing
Author(s): Xiaoming Zhu; Chao Chen; Bo Sun; Xiyu Zhang; Jun He
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Paper Abstract

In recent decades, hyperspectral Images (HSI) have been widely exploited in many fields for rich information containing in them. Many algorithms have been brought out for endmember extracting, among which, VCA algorithm performs a better precision and lower complexity. However, endmembers of the same HIS extracted with traditional VCA algorithm are not always the same in different runs. After deeply analyzing, the authors have proposed an improved VCA algorithm to resolve that shortcoming. For verification, experiment and comparative study have been performed. On conclusion, the improved VCA algorithm has manifested higher efficiency and accuracy than the traditional one.

Paper Details

Date Published: 26 April 2010
PDF: 7 pages
Proc. SPIE 7668, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications VII, 76680Z (26 April 2010); doi: 10.1117/12.851105
Show Author Affiliations
Xiaoming Zhu, Beijing Normal Univ. (China)
Chao Chen, China Naval Armament Academy (China)
Bo Sun, Beijing Normal Univ. (China)
Xiyu Zhang, Beijing Normal Univ. (China)
Jun He, Beijing Normal Univ. (China)


Published in SPIE Proceedings Vol. 7668:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications VII
Daniel J. Henry, Editor(s)

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