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Proceedings Paper

An update on the MATLAB hyperspectral image analysis toolbox
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Paper 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.

Paper Details

Date Published: 1 June 2005
PDF: 10 pages
Proc. SPIE 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, (1 June 2005); doi: 10.1117/12.605674
Show Author Affiliations
Samuel Rosario-Torres, Univ. of Puerto Rico at Mayaguez (United States)
Emmanuel Arzuaga-Cruz, Univ. of Puerto Rico at Mayaguez (United States)
Miguel Velez-Reyes, Univ. of Puerto Rico at Mayaguez (United States)
Luis O. Jimenez-Rodriguez, Univ. of Puerto Rico at Mayaguez (United States)


Published in SPIE Proceedings Vol. 5806:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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