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 original | Inglés |
---|---|
Número de artículo | 76 |
Páginas (desde-hasta) | 743-752 |
Número de páginas | 10 |
Publicación | Proceedings of SPIE - The International Society for Optical Engineering |
Volumen | 5806 |
N.º | PART II |
DOI | |
Estado | Publicada - 2005 |
Publicado de forma externa | Sí |
Evento | Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI - Orlando, FL, Estados Unidos Duración: 28 mar. 2005 → 01 abr. 2005 |