Modified full abundance-constrained spectral unmixing

Englin Wong; Chein-I Chang

doi:10.1117/12.979187

24 October 2012 Modified full abundance-constrained spectral unmixing

Englin Wong, Chein-I Chang

Proceedings Volume 8539, High-Performance Computing in Remote Sensing II; 85390F (2012) https://doi.org/10.1117/12.979187
Event: SPIE Remote Sensing, 2012, Edinburgh, United Kingdom

Abstract

Abundance fully constrained least squares (FLCS) method has been widely used for spectral unmixing. A modified FCLS (MFCLS) was previously proposed for the same purpose to derive two iterative equations for solving fully abundance-constrained spectral unmixing problems. Unfortunately, its advantages have not been recognized. This paper conducts a comparative study and analysis between FCLS and MFCLS via custom-designed synthetic images and real images to demonstrate that while both methods perform comparably in unmixing data, MFCLS edges out FCLS in less computing time.

Citation Download Citation

Englin Wong and Chein-I Chang "Modified full abundance-constrained spectral unmixing", Proc. SPIE 8539, High-Performance Computing in Remote Sensing II, 85390F (24 October 2012); https://doi.org/10.1117/12.979187

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