Endmember variability in hyperspectral analysis: addressing spectral variability during spectral unmixing

January 11, 2014 in Journal Papers

Abstract:

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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Citation:

A. Zare and K. C. Ho, “Endmember variability in hyperspectral analysis: addressing spectral variability during spectral unmixing,” IEEE Signal Process. Mag., vol. 31, iss. 1, pp. 95-104, 2014. 
@Article{zare2014endmember,
Title = {Endmember variability in hyperspectral analysis: addressing spectral variability during spectral unmixing},
Author = {Zare, Alina and Ho, K. C.},
Journal = {IEEE Signal Process. Mag.},
Year = {2014},
Month = {Jan.},
Number = {1},
Pages = {95-104},
Volume = {31},
Doi = {10.1109/MSP.2013.2279177},
}