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An Enhanced Weighted Median Filter for Noise Reduction in SAR Interferograms

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8192))

Abstract

In this paper, we describe a new filtering method based on the weighted median filter and the Lopez and Fabregas noise reduction algorithm operating in the wavelet domain. It is developed for the reduction of the impulse phase noise in synthetic aperture radar interferograms (InSAR). Our contribution to the classic weighted median filter consists of using the InSAR coherence map to generate the weights. While the developed approach prioritizes the high-coherence areas to compute the median filter outputs, the computation of the weights depends on the coherence values within the used window. The developed algorithm is then tested on a simulated data set as well as a set of Radarsat-2 raw data and ERS-2 SLC images acquired over the region of Mahdia and Ben Guerden respectively in Tunisia. The results validation is considered through computing the unwrapped phase of the filtered interferogram by using the SNAPHU algorithm.

The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-3-319-02895-8_64

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Author information

Authors and Affiliations

  1. COSIM Lab, Higher School of Communications of Tunis, University of Carthage, Route de Raoued KM 3.5, Cite El Ghazala Ariana, 2083, Tunisia

    Wajih Ben Abdallah & Riadh Abdelfattah

  2. Département ITI, Institut de Telecom, Technopôle Brest-Iroise, Telecom Bretagne, CS 83818, 29238, Brest Cedex 3, France

    Riadh Abdelfattah

Authors
  1. Wajih Ben Abdallah
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  2. Riadh Abdelfattah
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Editor information

Editors and Affiliations

  1. DGA, 7-9 rue des mathurins, 92 221, Bagneux, France

    Jacques Blanc-Talon

  2. Institute of Control and Information Engineering, Poznań University of Technology, Piotrowo 3A, 60-965, Poznań, Poland

    Andrzej Kasinski

  3. Telecommunications and Information Processing (TELIN), Ghent University, St.-Pietersnieuwstraat 41, 9000, Ghent, Belgium

    Wilfried Philips

  4. CSIRO ICT Centre, Epping, Po Box 76, 1710, Sydney, NSW, Australia

    Dan Popescu

  5. University of Antwerp, Universiteitsplein 1, Building N., 2610, Wilrijk, Antwerp, Belgium

    Paul Scheunders

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© 2013 Springer-Verlag Berlin Heidelberg

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Abdallah, W.B., Abdelfattah, R. (2013). An Enhanced Weighted Median Filter for Noise Reduction in SAR Interferograms. In: Blanc-Talon, J., Kasinski, A., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2013. Lecture Notes in Computer Science, vol 8192. Springer, Cham. https://doi.org/10.1007/978-3-319-02895-8_5

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  • DOI: https://doi.org/10.1007/978-3-319-02895-8_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02894-1

  • Online ISBN: 978-3-319-02895-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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