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Despeckling of SAR Images via an Improved Anisotropic Diffusion Algorithm

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Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 199))

Abstract

Synthetic Aperture Radar (SAR) is a powerful tool for producing high-resolution images but these images are highly contaminated with speckle noise. This paper proposes an improved Anisotropic Diffusion Algorithm for despeckling SAR images. The proposed algorithm is obtained by using a diffusion coefficient which consists of a combination of first and second order derivative operators. The spatial variation of this diffusion coefficient occurs in such a way that it prefers forward diffusion to backward diffusion resulting in improved structural details and edge preservation. The simulation results also show better computational efficiency in comparison to other denoising techniques.

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Authors and Affiliations

  1. Deptt. of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Faizabad Road, Lucknow, 227105, U.P., India

    Anurag Gupta, Anubhav Tripathi & Vikrant Bhateja

Authors
  1. Anurag Gupta
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  2. Anubhav Tripathi
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  3. Vikrant Bhateja
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Corresponding author

Correspondence to Anurag Gupta .

Editor information

Editors and Affiliations

  1. Dept of Computer Science Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  2. AI Lab, University of Hyderabad, Hyderabad, India

    Siba K. Udgata

  3. Bhubaneswar Engineering College, Bhubaneswar, India

    Bhabendra Narayan Biswal

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© 2013 Springer-Verlag Berlin Heidelberg

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Gupta, A., Tripathi, A., Bhateja, V. (2013). Despeckling of SAR Images via an Improved Anisotropic Diffusion Algorithm. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA). Advances in Intelligent Systems and Computing, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35314-7_85

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  • DOI: https://doi.org/10.1007/978-3-642-35314-7_85

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35313-0

  • Online ISBN: 978-3-642-35314-7

  • eBook Packages: EngineeringEngineering (R0)

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