Identifying Spectral Lines in Aberration-Prone Images During Wavelength Calibrating Image Spectrometers

Abstract

Imaging spectrometers are used in Earth remote sensing systems and require wavelength calibration. For the most accurate wavelength calibration, various optical aberrations such as distortion, astigmatism, and image field curvature must be taken into account. An approach to wavelength calibration of each detector string is proposed. The article develops an algorithm for accounting for optical aberrations by detecting spectral lines in images obtained by a spectrometer when registering reference sources of linear radiation. First, the images of the reference sources are combined and preprocessed, followed by an independent line-by-line analysis of the image to determine the centers of the spectral lines. Next, the data obtained is analyzed again as a whole, and as a result, a spectral line is selected. The application of the developed algorithm made it possible to calibrate a visual spectral system designed and intended for remote sensing of the Earth as part of the Uragan space experiment. In the case of using three spectrometers in a video spectral system, the process from processing calibration images to wave-length calibration takes 20--30 min. The calibration results of the video spectral system showed the possibility of using the developed algorithm to solve such problems

Please cite this article in English as:

Martinov A.O., Litvinovich G.S., Smolentseva L.A., et al. Identifying spectral lines in aberration-prone images during wavelength calibrating image spectrometers. Herald of the Bauman Moscow State Technical University, Series Natural Sciences, 2025, no. 3 (120), pp. 80--99 (in Russ.). EDN: NOJWTK

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