Applied and Computational Engineering

- The Open Access Proceedings Series for Conferences


Proceedings of the 2023 International Conference on Software Engineering and Machine Learning

Series Vol. 8 , 01 August 2023


Open Access | Article

A Review on Speckle Reduction Techniques in SAR images

Prabhishek Singh 1 , Ankur Maurya 2 , Achyut Shankar 3 , Sathishkumar V. E. * 4 , Manoj Diwakar 5
1 School of Computer Science Engineering and Technology, Bennett University, Greater Noida
2 School of Computer Science Engineering and Technology, Bennett University, Greater Noida
3 University of Warwick
4 Jeonbuk National University
5 Graphic Era Deemed to be University

* Author to whom correspondence should be addressed.

Applied and Computational Engineering, Vol. 8, 714-720
Published 01 August 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Prabhishek Singh, Ankur Maurya, Achyut Shankar, Sathishkumar V. E., Manoj Diwakar. A Review on Speckle Reduction Techniques in SAR images. ACE (2023) Vol. 8: 714-720. DOI: 10.54254/2755-2721/8/20230069.

Abstract

Synthetic Aperture Radar (SAR) is satellite imagery that has multiple applications in variegated fields but is often corrupted by single dependent multiplicative speckle noise. Its multiplicative nature decreases scope for image perception, recognition & limits SAR image’s applications. Thus, increasing the need for effective & astute SAR image despeckling techniques that not only excise speckle noise but also preserve SAR imageries features, details, and resolution quality. This study analyses various research literature & techniques namely, Adaptive Speckle Reduction Filter, Conditional Averaging filter, Speckle Reduction Filter, Anisotropic diffusion, Speckle Reduction Filter and Speckle Reduction Filter from theoretical, quantitative & qualitative aspects using indexes like SSIM, and RMSE to discover the comparatively superior approach.

Keywords

Synthetic Aperture Radar (SAR), Speckle Noise, SSIM, RMSE

References

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2023 International Conference on Software Engineering and Machine Learning
ISBN (Print)
978-1-915371-63-8
ISBN (Online)
978-1-915371-64-5
Published Date
01 August 2023
Series
Applied and Computational Engineering
ISSN (Print)
2755-2721
ISSN (Online)
2755-273X
DOI
10.54254/2755-2721/8/20230069
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated