An update on the MATLAB hyperspectral image analysis toolbox

Samuel Rosario-Torres; Emmanuel Arzuaga-Cruz; Miguel Velez-Reyes; Luis O. Jimenez-Rodriguez

doi:10.1117/12.605674

1 June 2005 An update on the MATLAB hyperspectral image analysis toolbox

Samuel Rosario-Torres, Emmanuel Arzuaga-Cruz, Miguel Velez-Reyes, Luis O. Jimenez-Rodriguez

Proceedings Volume 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI; (2005) https://doi.org/10.1117/12.605674
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

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.

Citation Download Citation

Samuel Rosario-Torres, Emmanuel Arzuaga-Cruz, Miguel Velez-Reyes, and Luis O. Jimenez-Rodriguez "An update on the MATLAB hyperspectral image analysis toolbox", Proc. SPIE 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, (1 June 2005); https://doi.org/10.1117/12.605674

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