Multidimensional feature extraction from 3D hyperspectral images

Mehrube Mehrubeoglu; Lifford McLauchlan

doi:10.1117/12.899891

9 September 2011 Multidimensional feature extraction from 3D hyperspectral images

Proceedings Volume 8136, Mathematics of Data/Image Pattern Coding, Compression, and Encryption with Applications XIII; 81360D (2011) https://doi.org/10.1117/12.899891
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

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.

Citation Download Citation

Mehrube Mehrubeoglu and Lifford McLauchlan "Multidimensional feature extraction from 3D hyperspectral images", Proc. SPIE 8136, Mathematics of Data/Image Pattern Coding, Compression, and Encryption with Applications XIII, 81360D (9 September 2011); https://doi.org/10.1117/12.899891

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