Point-source suppression for atmospheric wave extraction from airglow imaging measurements

Jing Tang, Farzad Kamalabadi, Lee G. Rumsey, Gary R. Swenson

Research output: Contribution to journalArticlepeer-review

Abstract

Spectroscopic images of atmospheric chemiluminescent airglow contain fundamental diagnostic information about the structure and dynamics of the upper atmosphere. However, westward movement of stars causes nonnegligible contamination in the two-dimensional horizontal wavenumber spectra extracted from all-sky airglow images. The conventional star-removing scheme is not effective in attenuating the star artifacts in the spectra of emission intensities of gravity wave perturbation, hindering the subsequent calculation of the angular spectra and the momentum fluxes of the profiles. To address this problem, a gradient-based edge detection algorithm for locating and attenuating the undesired star signal is developed. Comparatively, this algorithm is more effective than the conventional star-removing methods. The algorithm is validated in the context of experimentally obtained spectra.

Original languageEnglish (US)
Pages (from-to)146-152
Number of pages7
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume41
Issue number1
DOIs
StatePublished - Jan 2003

Keywords

  • Atmospheric measurements
  • Feature extraction
  • Point-source attenuation
  • Spectroscopic imaging

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)

Fingerprint Dive into the research topics of 'Point-source suppression for atmospheric wave extraction from airglow imaging measurements'. Together they form a unique fingerprint.

Cite this