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Enhanced Edge Smoothing for SAR Data Using Image Filter Technique

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Data Engineering and Communication Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1079))

Abstract

The SAR is usually corrupted by some surplus speckle formed. These speckles have multiplicative noise, which appears like a grainy pattern in the SAR image. This performs an accurate interpretation of SAR images. The aim of this work was to remove the noise and to accurately classify the LULC facts with quality evolution. The SAR images play an important key role in earth observation applications using high resolution for all-weather conditions and all times. The SAR images an effect of coherent handing out of a mixture of regions and uses a variety of applications like as crop estimation, Land Use Land Cover (LULC), one of the military application is that the target detection, etc. The SAR images are high-resolution LULC facts, and still, it includes the noise. The LULC images continuously for collecting. The traditional techniques (Lee Filter, Gamma Filter) which are in use are not effective to identify the LULC facts and features of the SAR images. These never remove all the noises in SAR images especially the noise like “salt and pepper.” Therefore, in this paper, the researcher proposes a new technique “Enhanced Discontinue Image Filter” which is window size based and effectively visualizes the SAR images with 89.1% accuracy to determine the ground truth value.

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Acknowledgements

I would like to thank the NRSC Bala Nagar, Hyderabad, my supervisor, teaching staff, non-teaching staff and Head Institution of B. S. Abdur Rahman Crescent Institute of Science and Technology.

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Authors and Affiliations

  1. Department of IT, BSACIST, Chennai, India

    G. Siva Krishna & N. Prakash

Authors
  1. G. Siva Krishna
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  2. N. Prakash
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Corresponding author

Correspondence to G. Siva Krishna .

Editor information

Editors and Affiliations

  1. Professor & Head, Department of Computer Science & Engineering, CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Roman Senkerik

  3. Stanley College of Engineering and Technology, Hyderabad, Telangana, India

    Satya Prasad Lanka

  4. Department of EEE, Stanley College of Engineering and Technology, Hyderabad, Telangana, India

    V. Rajagopal

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Siva Krishna, G., Prakash, N. (2020). Enhanced Edge Smoothing for SAR Data Using Image Filter Technique. In: Raju, K.S., Senkerik, R., Lanka, S.P., Rajagopal, V. (eds) Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 1079. Springer, Singapore. https://doi.org/10.1007/978-981-15-1097-7_12

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