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Homomorphic Incremental Directional Averaging for Noise Suppression in SAR Images

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Book cover Computer Vision, Pattern Recognition, Image Processing, and Graphics (NCVPRIPG 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 841))

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Abstract

In recent days, it is found that Synthetic Aperture Radar (SAR) images can be a very useful mode for observing and understanding the surface of Earth. The images formed under SAR modality usually suffer from multiplicative noise, particularly in single-look-complex (SLC) mode. There are extensive works in the literature for denoising SAR data, which are usually applied on amplitude data, or on coherency/covariance data. In this paper, we propose a two-channel filtering technique for noise suppression in complex SAR data. The rectangular format of complex SAR data is represented in phasor form to execute noise filtering over amplitude and phase independently, and then converted back to the rectangular format for subsequent applications. In this approach, it is observed that, the surface texture information is visibly retained while suppressing the noise considerably well, in comparison to reference multi-look image. As an application, we show the advantage of proposed noise suppression technique in classification of SAR images.

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Acknowledgments

This work has been carried out under a project entitled Polarimetric Analysis of SAR Images for Segmentation, Classification, and Recognition of Objects, sponsored by ISRO, Indian Space Research Organization (Grant no. IIT/KCSTC/Chair./NEW/P/17-18/01, dated 17-05-2017).

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Authors and Affiliations

  1. Indian Institute Technology Kharagpur, Kharagpur, 721 302, West Bengal, India

    Shashaank M. Aswatha, Jayanta Mukhopadhyay, Prabir K. Biswas & Subhas Aikat

Authors
  1. Shashaank M. Aswatha
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  2. Jayanta Mukhopadhyay
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  3. Prabir K. Biswas
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  4. Subhas Aikat
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Corresponding author

Correspondence to Shashaank M. Aswatha .

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Editors and Affiliations

  1. Indian Institute of Technology Mandi, Mandi, Himachal Pradesh, India

    Renu Rameshan

  2. Indraprastha Institute of Information Technology, New Delhi, India

    Chetan Arora

  3. Indian Institute of Technology, New Delhi, India

    Sumantra Dutta Roy

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Aswatha, S.M., Mukhopadhyay, J., Biswas, P.K., Aikat, S. (2018). Homomorphic Incremental Directional Averaging for Noise Suppression in SAR Images. In: Rameshan, R., Arora, C., Dutta Roy, S. (eds) Computer Vision, Pattern Recognition, Image Processing, and Graphics. NCVPRIPG 2017. Communications in Computer and Information Science, vol 841. Springer, Singapore. https://doi.org/10.1007/978-981-13-0020-2_26

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  • DOI: https://doi.org/10.1007/978-981-13-0020-2_26

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0019-6

  • Online ISBN: 978-981-13-0020-2

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