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Speckle Noise Reduction in SAR Images Using Fuzzy Inference System

Speckle Noise Reduction in SAR Images Using Fuzzy Inference System

S Vijayakumar, V. Santhi
Copyright: © 2019 |Volume: 8 |Issue: 4 |Pages: 24
ISSN: 2156-177X|EISSN: 2156-1761|EISBN13: 9781522567714|DOI: 10.4018/IJFSA.2019100104
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MLA

Vijayakumar, S, and V. Santhi. "Speckle Noise Reduction in SAR Images Using Fuzzy Inference System." IJFSA vol.8, no.4 2019: pp.60-83. http://doi.org/10.4018/IJFSA.2019100104

APA

Vijayakumar, S. & Santhi, V. (2019). Speckle Noise Reduction in SAR Images Using Fuzzy Inference System. International Journal of Fuzzy System Applications (IJFSA), 8(4), 60-83. http://doi.org/10.4018/IJFSA.2019100104

Chicago

Vijayakumar, S, and V. Santhi. "Speckle Noise Reduction in SAR Images Using Fuzzy Inference System," International Journal of Fuzzy System Applications (IJFSA) 8, no.4: 60-83. http://doi.org/10.4018/IJFSA.2019100104

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Abstract

In recent years, image processing has played a vital role in major research areas. In this article, a new approach using a fuzzy inference system is proposed for speckle reduction in SAR images. In general, SAR images are predominantly used to monitor coastal regions to detect oil spills, ship wake, sea shores and climate changes. In this article, a gamma distribution model is used in a fuzzy inference system to remove speckle noise from SAR images. The performance of the proposed model is tested using fuzzy inference systems, such as mamdani and sugeno. The experimental results proved the efficiency of the proposed system through objective metrics.

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