Image processing of a spectrogram produced by Spectrometer Airglow Temperature Imager

TL;DR

This paper presents an image processing approach for spectrograms from the Spectral Airglow Temperature Imager, enabling analysis of wave processes in the Mesosphere-Lower Thermosphere by correcting CCD images and extracting physical parameters.

Contribution

The paper introduces a detailed method for processing spectrogram images, including pixel correction and filter parameter determination, tailored for wave analysis in atmospheric research.

Findings

Effective correction of CCD pixel values influenced by cosmic particles

Improved accuracy in spectrogram analysis for wave kinematics

Detailed processing steps enhance data reliability

Abstract

The Spectral Airglow Temperature Imager is an instrument, specially designed for investigation of the wave processes in the Mesosphere-Lower Thermosphere. In order to determine the kinematics parameters of a wave, the values of a physical quantity in different space points and their changes in the time should be known. An approach for image processing of registered spectrograms is proposed. A detailed description is made of the steps of this approach, related to recovering CCD pixel values, influenced by cosmic particles, dark image correction and filter parameters determination.