Abstract

An image mapping spectrometer (IMS) is a snapshot hyperspectral imager that simultaneously captures both the spatial (x, y) and spectral (λ) information of incoming light. The IMS maps a three-dimensional (3D) datacube (x, y, λ) to a two-dimensional (2D) detector array (x, y) for parallel measurement. To reconstruct the original 3D datacube, one must construct a lookup table that connects voxels in the datacube and pixels in the raw image. Previous calibration methods suffer from either low speed or poor image quality. We herein present a slit-scan calibration method that can significantly reduce the calibration time while maintaining high accuracy. Moreover, we quantitatively analyzed the major artifact in the IMS, the striped image, and developed three numerical methods to correct for it.

Original languageEnglish (US)
Pages (from-to)6062-6069
Number of pages8
JournalApplied Optics
Volume59
Issue number20
DOIs
StatePublished - Jul 10 2020

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering

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  • Cite this

    Cui, Q., Park, J., Iyer, R. R., Žurauskas, M., Boppart, S. A., Smith, R. T., & Gao, L. (2020). Development of a fast calibration method for image mapping spectrometry. Applied Optics, 59(20), 6062-6069. https://doi.org/10.1364/AO.395988