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Endmember Extraction Using a Combination of Orthogonal Projection and Genetic Algorithm

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4 Author(s)
Rezaei, Y. ; Fac. of Geomatics, K.N. Toosi Univ. of Technol., Tehran, Iran ; Mobasheri, M.R. ; Zoej, M.J.V. ; Schaepman, M.E.

Common endmember extraction algorithms presume that the number of materials present is either known or may be predetermined by using spectral databases or other approaches. In this letter, we propose a new method called genetic orthogonal projection (GOP) for endmember extraction in imaging spectrometry. GOP is based on a fully unsupervised approach and uses convex geometric characteristics as well as a genetic algorithm. We compare GOP with existing endmember extraction algorithms and demonstrate that GOP partially outperforms them, without the need of a priori information.

Published in:

Geoscience and Remote Sensing Letters, IEEE  (Volume:9 ,  Issue: 2 )