Hyperspectral Unmixing using the AFSSI-C

Autor:	Esteban Vera, Michael E. Gehm, Phillip K. Poon
Rok vydání:	2015
Předmět:	medicine.medical_specialty Computer science business.industry Full spectral imaging medicine Hyperspectral imaging Computer vision Artificial intelligence business Classifier (UML) Spectral imaging Coding (social sciences)
Zdroj:	Imaging and Applied Optics 2015.
DOI:	10.1364/isa.2015.it2a.6
Popis:	We investigate the use of the Adaptive Feature Specific Spectral Imaging Classifier (AFSSI-C) architecture to perform spectral unmixing. Through simulations using a variety of static coding schemes, we demonstrate that the AFSSI-C outperforms traditional hyperspectral imaging.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::99a15324566cc7d6d32a2ea43597897e https://doi.org/10.1364/isa.2015.it2a.6 Zobrazit plný text záznamu