Correction for a long-wave infrared coded aperture hyperspectral imaging model via multi-source deviation coupling...

Area of Science:

• Optics and Photonics
• Spectroscopy
• Infrared Imaging

Background:

• Traditional coded aperture hyperspectral imaging models use a decoupled approach.
• In the long-wave infrared band, non-ideal mask coding and stray light interfere with imaging.
• These interferences are coupled with the encoding-dispersion process, making traditional models ineffective.

Purpose of the Study:

• To propose a coupled corrected imaging model for long-wave infrared hyperspectral imaging.
• To develop a reconstruction strategy for full-scene data recovery accounting for coupled interferences.
• To validate the model's effectiveness in a laboratory gas detection experiment.

Main Methods:

• Developed a coupled corrected imaging model addressing non-ideal coding and stray light.
• Designed a reconstruction strategy integrating the corrected model with estimation algorithms.
• Conducted a comparative laboratory experiment using gas detection to evaluate model performance.

Main Results:

• The proposed coupled corrected model effectively eliminated structured errors and spatial striping artifacts.
• Characteristic absorption peaks of ammonia were accurately reconstructed.
• No artificial peaks were introduced in weak absorption bands, demonstrating improved spectral fidelity.

Conclusions:

• The coupled corrected imaging model significantly outperforms traditional and partially corrected models in the long-wave infrared band.
• The developed reconstruction strategy enables accurate full-scene data recovery.
• The model is effective for applications like gas detection, offering enhanced accuracy and reliability.