
Proceedings Paper
Multidimensional feature extraction from 3D hyperspectral imagesFormat | Member Price | Non-Member Price |
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Paper Abstract
A hyperspectral imaging system has been set up and used to capture hyperspectral image cubes from various samples in
the 400-1000 nm spectral region. The system consists of an imaging spectrometer attached to a CCD camera with fiber
optic light source as the illuminator. The significance of this system lies in its capability to capture 3D spectral and
spatial data that can then be analyzed to extract information about the underlying samples, monitor the variations in their
response to perturbation or changing environmental conditions, and compare optical properties. In this paper preliminary
results are presented that analyze the 3D spatial and spectral data in reflection mode to extract features to differentiate
among different classes of interest using biological and metallic samples. Studied biological samples possess
homogenous as well as non-homogenous properties. Metals are analyzed for their response to different surface
treatments, including polishing. Similarities and differences in the feature extraction process and results are presented.
The mathematical approach taken is discussed. The hyperspectral imaging system offers a unique imaging modality that
captures both spatial and spectral information that can then be correlated for future sample predictions.
Paper Details
Date Published: 9 September 2011
PDF: 12 pages
Proc. SPIE 8136, Mathematics of Data/Image Pattern Coding, Compression, and Encryption with Applications XIII, 81360D (9 September 2011); doi: 10.1117/12.899891
Published in SPIE Proceedings Vol. 8136:
Mathematics of Data/Image Pattern Coding, Compression, and Encryption with Applications XIII
Mark S. Schmalz; Gerhard X. Ritter; Junior Barrera; Jaakko T. Astola, Editor(s)
PDF: 12 pages
Proc. SPIE 8136, Mathematics of Data/Image Pattern Coding, Compression, and Encryption with Applications XIII, 81360D (9 September 2011); doi: 10.1117/12.899891
Show Author Affiliations
Mehrube Mehrubeoglu, Texas A&M Univ. Corpus Christi (United States)
Lifford McLauchlan, Texas A&M Univ.-Kingsville (United States)
Published in SPIE Proceedings Vol. 8136:
Mathematics of Data/Image Pattern Coding, Compression, and Encryption with Applications XIII
Mark S. Schmalz; Gerhard X. Ritter; Junior Barrera; Jaakko T. Astola, Editor(s)
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