Improved VCA in hyperspectral image processing

Xiaoming Zhu; Chao Chen; Bo Sun; Xiyu Zhang; Jun He

doi:10.1117/12.851105

26 April 2010 Improved VCA in hyperspectral image processing

Xiaoming Zhu, Chao Chen, Bo Sun, Xiyu Zhang, Jun He

Proceedings Volume 7668, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications VII; 76680Z (2010) https://doi.org/10.1117/12.851105
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

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.

Citation Download Citation

Xiaoming Zhu, Chao Chen, Bo Sun, Xiyu Zhang, and Jun He "Improved VCA in hyperspectral image processing", Proc. SPIE 7668, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications VII, 76680Z (26 April 2010); https://doi.org/10.1117/12.851105

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