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Mathematical Morphology and Its Applications to Image Processing pp 353–360Cite as

Radar Image Analysis Using Morphological Filters

Application to geological mapping

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Part of the book series: Computational Imaging and Vision ((CIVI,volume 2))

Abstract

The speckle noise is one severe obstacle for automatic mapping from radar images. For geological mapping, the connectivity of structures has to be restored. New filters for speckle reduction are presented here and compared to already known ones according to an index of connectivity.

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References

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Author information

Authors and Affiliations

  1. Département de Géotectonique, UPMC PARIS VI., 4, place Jussieu, F-75252, Paris Cedex 05, France

    C. Mering & J.-F. Parrot

  2. ORSTOM, Paris, France

    C. Mering & J.-F. Parrot

Authors
  1. C. Mering
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  2. J.-F. Parrot
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Editor information

Editors and Affiliations

  1. Centre de Morphologie Mathématique, Ecole des Mines de Paris, Fontainebleau, France

    Jean Serra  & Pierre Soille  & 

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© 1994 Springer Science+Business Media Dordrecht

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Mering, C., Parrot, JF. (1994). Radar Image Analysis Using Morphological Filters. In: Serra, J., Soille, P. (eds) Mathematical Morphology and Its Applications to Image Processing. Computational Imaging and Vision, vol 2. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1040-2_45

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  • DOI: https://doi.org/10.1007/978-94-011-1040-2_45

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-4453-0

  • Online ISBN: 978-94-011-1040-2

  • eBook Packages: Springer Book Archive

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