Criteria for satellite image restoration success

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Many properties of the atmosphere affect the quality of images propagating through it by blurring and reducing their contrast. The atmospheric path involves several limitations, such as scattering, absorption of light, and turbulence, which degrade the image. Recently developed atmospheric filters, which correct for turbulence blur, aerosol blur, and path radiance simultaneously, are implemented here in the digital restoration of Landsat thematic mapper (TM) imagery. The turbulence modulation transfer function (MTF) is calculated from meteorological data or estimated if no meteorological data were measured. Aerosol MTF is consistent with optical depth. The product of the two yields atmospheric MTF, which is implemented in the atmospheric filter. Restoration improves smallness of size of both resolvable detail and contrast. Restorations are quite apparent even under clear weather conditions. A way to evaluate restoration improvement is presented here by the use of quantitative criteria as well as subjective opinions of human observers in perception experiments. Not all the restoration criteria represent improvement in the same tested image under the same restoration conditions. When one criterion suggests an enhancement, there is a chance that another one might represent a lower value for restoration success.

Original languageEnglish
Pages (from-to)2607-2613
Number of pages7
JournalOptical Engineering
Volume42
Issue number9
DOIs
StatePublished - 1 Sep 2003

Keywords

  • Aerosol modulation transfer function
  • Atmospheric modulation transfer function
  • Kalman filter
  • Landsat
  • Turbulence modulation transfer function
  • Wiener filter

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (all)

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