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
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A Review on Speckle Reduction Techniques in SAR images
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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
- 01 August 2023
- 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