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Proceedings Paper

Modified full abundance-constrained spectral unmixing
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Paper 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.

Paper Details

Date Published: 24 October 2012
PDF: 12 pages
Proc. SPIE 8539, High-Performance Computing in Remote Sensing II, 85390F (24 October 2012); doi: 10.1117/12.979187
Show Author Affiliations
Englin Wong, Univ. of Maryland, Baltimore County (United States)
Chein-I Chang, Univ. of Maryland, Baltimore County (United States)


Published in SPIE Proceedings Vol. 8539:
High-Performance Computing in Remote Sensing II
Bormin Huang; Antonio J. Plaza, Editor(s)

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