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Endmember Variability in Hyperspectral Analysis: Addressing Spectral Variability During Spectral Unmixing

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2 Author(s)
Zare, A. ; Electr. & Comput. Eng., Univ. of Missouri, Columbia, MO, USA ; Ho, K.C.

Variable illumination and environmental, atmospheric, and temporal conditions cause the measured spectral signature for a material to vary within hyperspectral imagery. By ignoring these variations, errors are introduced and propagated throughout hyperspectral image analysis. To develop accurate spectral unmixing and endmember estimation methods, a number of approaches that account for spectral variability have been developed. This article motivates and provides a review for methods that account for spectral variability during hyperspectral unmixing and endmember estimation and a discussion on topics for future work in this area.

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Signal Processing Magazine, IEEE  (Volume:31 ,  Issue: 1 )