Compressed sensing hyperspectral imaging in the 0.9-2.5  μm shortwave infrared wavelength range using a digital micromirror device and InGaAs linear array detector

A hyperspectral imaging system based on compressed sensing has been developed to image in the 0.9-2.5 μm shortwave infrared wavelengths. With a programmable digital micromirror device utilized as spatial light modulator, we have successfully performed spectrally resolved image reconstruction with a...

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Bibliographic Details
Published in:Applied optics (2004) 2018-06, Vol.57 (18), p.5019
Main Authors: Arnob, Md Masud Parvez, Nguyen, Hung, Han, Zhu, Shih, Wei-Chuan
Format: Article
Language:English
Subjects:
Detection
Digital imaging
Hydrocarbons
Hyperspectral imaging
Image acquisition
Image quality
Image reconstruction
Infrared detectors
Infrared imaging
Infrared signatures
Near infrared radiation
Organic chemistry
Raster
Raster scanning
Short wave radiation
Spatial light modulators
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Summary:A hyperspectral imaging system based on compressed sensing has been developed to image in the 0.9-2.5 μm shortwave infrared wavelengths. With a programmable digital micromirror device utilized as spatial light modulator, we have successfully performed spectrally resolved image reconstruction with a 256-element InGaAs linear array detector without traditional raster scanning or a push-broom mechanism by a compressed sensing (CS) single-pixel camera approach. The chemical sensitivity of the imaging sensor to near-infrared (NIR) overtone signatures of hydrocarbons was demonstrated using hydrocarbon and ink patterns on glass, showing spectral selectivity for the chemical components. Compared to point-by-point raster scanning, we show that the CS scheme can effectively accelerate image acquisition with lower but reasonable quality.
ISSN:1559-128X
2155-3165
DOI:10.1364/AO.57.005019