3 June 2015 Performance results of pixel co-registered VisNIR-SWIR hyperspectral imaging system
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Abstract
The primary application of hyperspectral imaging is to classify/quantify objects/materials in the scene based on their spectral signatures. The spectral features that are useful can sometimes fall outside the spectral range of a single hyperspectral imager which is usually limited by the spectral response range of the sensor material of the focal plane array within the imager. For these wide spectrum applications, some users are combining data from two (or more) hyperspectral imaging systems. Aside from the optical alignment, size and synchronization issues involved in such a setup, the process of pixel co-registration, i.e. geometrically transforming data from the 2 hyperspectral imaging systems to overlay one another is tedious and complex.

Headwall Photonics has integrated two of their off-the-shelf highly optimized hyperspectral imagers (Vis-NIR and SWIR) in an optically co-boresighted configuration together with a high performance data processor to produce a compact system which is easy to use and outputs wide spectrum pixel co-registered hyperspectral data. The process of pixel co-registration in this system is computationally very cheap enabling real-time wide-spectrum hyperspectral imaging applications.

This paper presents actual imaging and performance data from these systems showing excellent pixel co-registration, sensitivity and spectral resolution.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kwok-Keung Wong, Kwok-Keung Wong, } "Performance results of pixel co-registered VisNIR-SWIR hyperspectral imaging system", Proc. SPIE 9482, Next-Generation Spectroscopic Technologies VIII, 94821H (3 June 2015); doi: 10.1117/12.2195672; https://doi.org/10.1117/12.2195672
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