Title :
A MATLAB toolbox for Hyperspectral Image Analysis
Author :
Arzuaga-Cruz, Emmanuel ; Jimenez-Rodriguez, Luis O. ; Velez-Reyes, Miguel ; Kaeli, David ; Rodriguez-Diaz, Eladio ; Velazquez-Santana, Hector T. ; Castrodad-Carrau, Alexey ; Santos-Campis, Laura E. ; Santiago, Cesar
Author_Institution :
Lab. for Appl. Remote Sensing & Image Process., Puerto Rico Univ., Mayaguez
Abstract :
The Hyperspectral Image Analysis (HIA) toolbox 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 HIA Toolbox is to provide information extraction algorithms to users of hyperspectral and multispectral imagery in environmental and biomedical applications. The HIA toolbox 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. The HIA toolbox provides easy access to supervised and unsupervised classification algorithms developed at LARSIP over the last 8 years
Keywords :
feature extraction; geophysical signal processing; image classification; remote sensing; software packages; software reliability; software reusability; software tools; spectral analysis; CenSSIS; HIA toolbox; Hyperspectral Image Analysis toolbox; LARSIP; MATLAB numerical computing; MATLAB toolbox; NSF Center for Subsurface Sensing and Imaging Solutionware; algorithm collection; biomedical application; environmental application; hyperspectral imagery; information extraction algorithms; multispectral imagery; reliable software tools; reusable software tools; supervised classification algorithms; unsupervised classification algorithms; Application software; Biomedical computing; Biomedical imaging; Data mining; Hyperspectral imaging; Hyperspectral sensors; Image analysis; MATLAB; Multispectral imaging; Software tools;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1370246
