Projection-based methods for hyperspectral image fraction estimation

Autor:	P.J. Sementilli, A.E. Iverson, J.M. Triscari, K.F. West
Rok vydání:	2002
Předmět:	Estimation theory business.industry Hyperspectral imaging Pattern recognition Image (mathematics) Full spectral imaging Linear regression Projections onto convex sets Computer vision Fraction (mathematics) Artificial intelligence Projection (set theory) business Mathematics
Zdroj:	1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165).
DOI:	10.1109/iai.1998.666893
Popis:	In this paper, we investigate the issues that arise with the use of large spectral libraries in practical applications of fraction estimation in hyperspectral imaging. We then present a new technique for fraction estimation based on the method of successive projections onto convex sets. Results are presented that demonstrate the ability of this technique to recover information that cannot be recovered using traditional techniques based on linear regression alone.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9a360d3f84a57eb60064969a3ce5c980 https://doi.org/10.1109/iai.1998.666893 Zobrazit plný text záznamu