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A hyperspectral imager based on a Fabry-Perot interferometer with dielectric mirrors
Optics Express
|February 12, 2014
Summary
We developed a novel hyperspectral imager using a Fabry-Perot interferometer with low-cost dielectric mirrors. This system offers a cost-effective and efficient method for spectral imaging, validated with various scenes and reference spectra.
Area of Science:
- Optics and Photonics
- Spectroscopy
- Imaging Systems
Background:
- Hyperspectral imaging provides detailed spectral information across a scene.
- Traditional imaging systems often rely on metallic mirrors, which can be costly and lossy.
- Fabry-Perot interferometers offer a tunable method for spectral selection.
Purpose of the Study:
- To introduce a new hyperspectral imager utilizing a Fabry-Perot interferometer.
- To demonstrate the system's performance using dielectric mirrors for improved cost and efficiency.
- To validate the imager's capability in capturing spectral data from various targets.
Main Methods:
- Construction of a hyperspectral imager centered around a Fabry-Perot interferometer.
- Incorporation of low-reflectivity dielectric mirrors instead of traditional metallic mirrors.
- Validation through the acquisition of hyperspectral data (hypercubes) of emitting and reflective objects.
- Comparison of acquired spectra against established reference spectra.
Main Results:
- Successful validation of the hyperspectral imager by measuring hypercubes of diverse scenes.
- Demonstrated performance in the visible spectral region.
- Achieved comparable or superior results to reference spectra.
- Highlighted advantages of dielectric mirrors: lower losses, reduced cost, and off-the-shelf availability.
Conclusions:
- The developed hyperspectral imager based on a Fabry-Perot interferometer with dielectric mirrors is a viable and cost-effective solution.
- The system demonstrates reliable performance for spectral analysis in the visible region.
- Dielectric mirrors present a significant advantage over metallic mirrors for this application.

