Compressed single-shot hyperspectral imaging for combustion diagnostics.

Area of Science:

• Combustion diagnostics
• Hyperspectral imaging
• Optical diagnostics

Background:

• Traditional hyperspectral imaging generates large data cubes, requiring significant computational resources.
• Single-shot imaging is crucial for capturing transient combustion events.
• Compressed sensing offers a potential solution for reducing data acquisition and processing burdens.

Purpose of the Study:

• To demonstrate a compressed sensing-based single-shot hyperspectral imaging system for combustion diagnostics.
• To convert a 3D data cube into a compressed 2D hyperspectral image for efficient analysis.
• To validate the system's performance in measuring flame emissions.

Main Methods:

• Development of a single-shot hyperspectral imaging system utilizing compressed sensing.
• Coding light emissions with a random binary pattern before spectral acquisition.
• Computational analysis of the compressed hyperspectral image to recover spatial and spectral information.
• Measurement of C2* and CH* chemiluminescence in a methane/air flame.

Main Results:

• The system successfully captured well-resolved spectra in a 2D plane via a single shot.
• Recovered spectral and spatial information showed good agreement with traditional measurements.
• The correlation between emission ratio and equivalence ratio was accurately determined for methane/air flames.

Conclusions:

• Compressed sensing-based single-shot hyperspectral imaging is a viable technique for combustion diagnostics.
• The method offers an efficient approach for acquiring and analyzing hyperspectral data from flames.
• The technique has potential for broader applications in laser-based combustion diagnostics.