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Zhu X.,Beijing Normal University | Chen C.,China Naval Armament Academy | Sun B.,Beijing Normal University | Zhang X.,Beijing Normal University | He J.,Beijing Normal University
Proceedings of SPIE - The International Society for Optical Engineering

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. © 2010 Copyright SPIE - The International Society for Optical Engineering. Source

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