A small, low-cost, hyperspectral imaging FTIR sensor design for standoff detection applications

Gruber, Thomas; Moore, Brad; Tercha, Brian; Bowe, Ryan

doi:10.1117/12.919159

Cited by 2 publications

(1 citation statement)

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“…Other HSI devices are based on optical band-pass filters, either tunable or fixed, and the spectrum has to be scanned in steps. In the third class of HSI devices the spectral information for each pixel is recorded in the interferogram acquired scanning the optical path delay with linear actuators as in Michelson interferometers [2], in Mach-Zender interferometers [3], and in Fabry-Perot interferometers [4]. The spectrum is finally calculated using Fourier transform based algorithms.…”

Section: Introductionmentioning

confidence: 99%

Fast processing spectral discrimination for hyperspectral imagers based on interferometry

Zucco¹,

Pisani²

2014

Meas. Sci. Technol.

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Hyperspectral imagers based on interferometry associate with each pixel of the image the spectrum calculated with the Fourier transform of the measured interferogram. This class of hyperspectral imagers is intrinsically faster than imagers based on optical filters and on dispersive means when the noise is dominated by detector noise. This speed advantage could be hampered by the large computing power necessary to extract the spectral content of the image from the large number of data acquired by the camera. We have realized a real-time algorithm to discriminate different spectra of the pixels of a scene directly from the acquired interferograms. The technique showed very good discrimination of pixels illuminated by narrow band radiation. This algorithm is based on principal component analysis and could be implemented directly in the camera processor to discriminate spectra in the image in real time using factorization with singular value decomposition.

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Section: Introductionmentioning

confidence: 99%