Title | Reconstruction of reflectance spectra using robust nonnegative matrix factorization |
Publication Type | Journal Article |
Year of Publication | 2006 |
Authors | AB Hamza, and DJ Brady |
Journal | Ieee Transactions on Signal Processing |
Volume | 54 |
Issue | 9 |
Start Page | 3637 |
Pagination | 3637 - 3642 |
Date Published | 09/2006 |
Abstract | In this correspondence, we present a robust statistics-based nonnegative matrix factorization (RNMF) approach to recover the measurements in reflectance spectroscopy. The proposed algorithm is based on the minimization of a robust cost function and yields two equations updated alternatively. Unlike other linear representations, such as principal component analysis, the RNMF technique is resistant to outliers and generates nonnegative-basis functions, which balance the logical attractiveness of measurement functions against their physical feasibility. Experimental results on a spectral library of reflectance spectra are presented to illustrate the much improved performance of the RNMF approach. © 2006 IEEE. |
DOI | 10.1109/TSP.2006.879282 |
Short Title | Ieee Transactions on Signal Processing |