Geometric calibration of a hyperspectral imaging system

Area of Science:

• Optics and Photonics
• Image Processing
• Spectroscopy

Background:

• Geometric calibration is crucial for accurate optical measurements in imaging systems.
• Hyperspectral imaging systems exhibit wavelength-dependent optical aberrations, challenging conventional calibration methods.
• Inaccurate calibration leads to errors in optical measurements, particularly in spectral imaging.

Purpose of the Study:

• To develop and validate a novel geometric calibration method for hyperspectral imaging systems.
• To address the challenge of wavelength-dependent optical aberrations in hyperspectral imaging.
• To achieve accurate subpixel geometric calibration for hyperspectral data.

Main Methods:

• A B-spline transformation field was employed to align spectral images of a calibration object.
• Normalized cross-correlation was used to quantify the spatial alignment between ideal and spectral images.
• The method was applied to a hyperspectral imaging system operating in the near-infrared (1.0-1.7 µm) spectral range.

Main Results:

• The proposed B-spline method effectively characterized wavelength-dependent optical aberrations.
• Accurate transformations were generated for subpixel geometric calibration.
• The method demonstrated improved geometric accuracy for hyperspectral imaging.

Conclusions:

• The B-spline transformation method provides an accurate approach for geometric calibration of hyperspectral imaging systems.
• This technique effectively corrects for spectral variations in optical aberrations.
• The developed method enhances the reliability of optical measurements from hyperspectral imaging systems.