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Proceedings Paper

Spectral unmixing with nonnegative matrix factorization
Author(s): Mario Parente; Argyrios Zymnis; Joëlle Skaf; Janice Bishop
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Paper Abstract

The present study is an illustration of the application of Nonnegative Matrix Factorization (NMF) to the problem of linear unmixing of mineral endmembers in hyperspectral images. NMF can be seen as for nonnegative linear coding of the data points. We will show how a novel implementation of the NMF is able to perform both endmember extraction and abundance calculation. A synthetic example, used to illustrate the issue shows that NMF correctly identifies endmembers in a random mixing of real library spectra.

Paper Details

Date Published: 3 October 2006
PDF: 7 pages
Proc. SPIE 6366, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VI, 63660B (3 October 2006);
Show Author Affiliations
Mario Parente, Stanford Univ. (United States)
Argyrios Zymnis, Stanford Univ. (United States)
Joëlle Skaf, Stanford Univ. (United States)
Janice Bishop, Seti Institute/ NASA Ames (United States)

Published in SPIE Proceedings Vol. 6366:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VI
Manfred Ehlers; Ulrich Michel, Editor(s)

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