An update on the MATLAB hyperspectral image analysis toolbox

Samuel Rosario-Torres, Emmanuel Arzuaga-Cruz, Miguel Velez-Reyes, Luis O. Jiménez-Rodríguez

Producción: Contribución a una revistaArtículo de la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

The Hyperspectral Image Analysis Toolbox (HIAT) is a collection of algorithms that extend the capability of the MATLAB numerical computing environment for the processing of hyperspectral and multispectral imagery. The purpose of the HIAT Toolbox is to provide information extraction algorithms to users of hyperspectral and multispectral imagery in environmental and biomedical applications. HIAT has been developed as part of the NSF Center for Subsurface Sensing and Imaging (CenSSIS) Solutionware that seeks to develop a repository of reliable and reusable software tools that can be shared by researchers across research domains. HIAT provides easy access to supervised and unsupervised classification algorithms developed at LARSIP over the last 8 years.

Idioma originalInglés
Número de artículo76
Páginas (desde-hasta)743-752
Número de páginas10
PublicaciónProceedings of SPIE - The International Society for Optical Engineering
Volumen5806
N.ºPART II
DOI
EstadoPublicada - 2005
Publicado de forma externa
EventoAlgorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI - Orlando, FL, Estados Unidos
Duración: 28 mar. 200501 abr. 2005

Huella

Profundice en los temas de investigación de 'An update on the MATLAB hyperspectral image analysis toolbox'. En conjunto forman una huella única.

Citar esto