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Atmospheric Disturbances Tracking in Satellite Images

  • Conference paper
Image Sequence Processing and Dynamic Scene Analysis

Part of the book series: NATO ASI Series ((NATO ASI F,volume 2))

Abstract

In this paper, we propose an extraction method of some features, which describe dynamic properties of atmospheric disturbances. We identify a disturbance in a satellite image by means of a spirals model, knowing that the luminance model is constant levels plus noise. Thus, we define a class-conditional log-likelihood functional, what leads to a least-squares procedure. We compute the estimation of the shape change and motion parameters with a gradient algorithm. Such a processing could be an aid in interactive treatments and in the cloud archives development.

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References

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Author information

Authors and Affiliations

  1. I.R.I.S.A., Campus de Beaulieu, Avenue du Gal Leclerc, 35042, Rennes Cédex, France

    P. Bouthemy & A. Benveniste

Authors
  1. P. Bouthemy
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  2. A. Benveniste
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Editor information

Editors and Affiliations

  1. Coordinated Science Laboratory, University of Illinois, 1101 West Springfield Avenue, Urbana, IL, 61801, USA

    Thomas S. Huang

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© 1983 Springer-Verlag Berlin Heidelberg

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Cite this paper

Bouthemy, P., Benveniste, A. (1983). Atmospheric Disturbances Tracking in Satellite Images. In: Huang, T.S. (eds) Image Sequence Processing and Dynamic Scene Analysis. NATO ASI Series, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-81935-3_32

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  • DOI: https://doi.org/10.1007/978-3-642-81935-3_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-81937-7

  • Online ISBN: 978-3-642-81935-3

  • eBook Packages: Springer Book Archive

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