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

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

doi:10.1109/TGRS.2002.808064

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 journal › Article › peer-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 language	English (US)
Pages (from-to)	146-152
Number of pages	7
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	41
Issue number	1
DOIs	https://doi.org/10.1109/TGRS.2002.808064
State	Published - 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)

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@article{108d1451dc2d4421a263a1a55e6d3bb7,

title = "Point-source suppression for atmospheric wave extraction from airglow imaging measurements",

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.",

keywords = "Atmospheric measurements, Feature extraction, Point-source attenuation, Spectroscopic imaging",

author = "Jing Tang and Farzad Kamalabadi and Rumsey, {Lee G.} and Swenson, {Gary R.}",

note = "Funding Information: Manuscript received January 16, 2002; revised October 14, 2002. This work was supported in part by the National Science Foundation under Grant ATM 99-08598 and Grant ATM 01-35073, as well as by National Aeronautics and Space Administration Grant NAG 5-10072 to the University of Illinois.",

year = "2003",

month = jan,

doi = "10.1109/TGRS.2002.808064",

language = "English (US)",

volume = "41",

pages = "146--152",

journal = "IEEE Transactions on Geoscience and Remote Sensing",

issn = "0196-2892",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "1",

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T1 - Point-source suppression for atmospheric wave extraction from airglow imaging measurements

AU - Tang, Jing

AU - Kamalabadi, Farzad

AU - Rumsey, Lee G.

AU - Swenson, Gary R.

N1 - Funding Information: Manuscript received January 16, 2002; revised October 14, 2002. This work was supported in part by the National Science Foundation under Grant ATM 99-08598 and Grant ATM 01-35073, as well as by National Aeronautics and Space Administration Grant NAG 5-10072 to the University of Illinois.

PY - 2003/1

Y1 - 2003/1

N2 - 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.

AB - 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.

KW - Atmospheric measurements

KW - Feature extraction

KW - Point-source attenuation

KW - Spectroscopic imaging

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DO - 10.1109/TGRS.2002.808064

M3 - Article

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EP - 152

JO - IEEE Transactions on Geoscience and Remote Sensing

JF - IEEE Transactions on Geoscience and Remote Sensing

SN - 0196-2892

IS - 1

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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