Snapshot infrared Fourier transform imaging spectrometer for transient dynamic sensing

Area of Science:

• Optics
• Spectroscopy
• Infrared Technology

Background:

• Imaging spectroscopy captures spatial and spectral data but faces challenges with dynamic targets.
• Optical scanning methods can introduce artifacts and spectral interference in spectral mapping.
• Existing technologies may lack the real-time capability and high resolution needed for dynamic analyses.

Purpose of the Study:

• To propose and validate an innovative structure for a snapshot infrared Fourier transform imaging spectrometer (SIFTIS).
• To address limitations in dynamic target spectral mapping by combining snapshot imaging and infrared spectral detection.
• To provide a system with high spatiotemporal resolution, stability, and real-time capability for advanced applications.

Main Methods:

• Developed an optical field transmission model and an error propagation model for the SIFTIS.
• Analyzed the impact of optical aberrations and positional errors on spectral mapping to establish design error tolerances.
• Employed preliminary experiments and simulation analysis for calibration and correction of spectral shifts.
• Conducted imaging spectral detection of dynamic plume targets.

Main Results:

• The SIFTIS technology acquires complete 3D datasets within a single integration time.
• The system demonstrates good stability, strong real-time capability, and high spatiotemporal resolution.
• Calibration and correction methods effectively addressed spectral shifts caused by component errors.
• Successful imaging spectral detection of dynamic plume targets validated the system's feasibility.

Conclusions:

• The proposed SIFTIS offers a significant advancement for spectral mapping of dynamic targets.
• The technology is advantageous for applications like camouflage target recognition and pollutant gas measurement.
• The SIFTIS provides a robust and efficient solution for high-resolution, real-time spectral detection.