A comparison of algorithms to compute the positive matrix factorization and their application to unsupervised unmixing

Yahya M. Masalmah; Miguel Vélez-Reyes

doi:10.1117/12.667977

8 May 2006 A comparison of algorithms to compute the positive matrix factorization and their application to unsupervised unmixing

Yahya M. Masalmah, Miguel Vélez-Reyes

Author Affiliations +

Proceedings Volume 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII; 623326 (2006) https://doi.org/10.1117/12.667977
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

This paper presents a comparison of different algorithms to compute the constrained positive matrix factorization and their application to the unsupervised unmixing problem. We study numerical methods based on the Gauss-Newton algorithm, the Seung-Lee approach, the Gauss-Seidel algorithm, and penalty methods. Preliminary results using a Hyperion image from southwestern Puerto Rico presented. Algorithms will be compared in terms of their convergence performance, and quality of the results.

Citation Download Citation

Yahya M. Masalmah and Miguel Vélez-Reyes "A comparison of algorithms to compute the positive matrix factorization and their application to unsupervised unmixing", Proc. SPIE 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, 623326 (8 May 2006); https://doi.org/10.1117/12.667977

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available