International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
Abstract
In remote sensing applications SAR images play a vital role. But due to interference in signal, SAR images are getting with speckle noise to greater extent. Speckle noise is a kind of noise that gets multiplied with pixel intensities. Thus, the speckle noise is called multiplicative noise. In this study, computational intelligence based noise removal approach is proposed to remove speckle noise by preserving edges and texture information. The proposed system uses Neuro-Fuzzy approach using basic topology rather using all possible topology to reduce complexity. The performance of the proposed system is measures through objective metrics which shows the efficiency of the proposed approach for noise removal.
How to cite this article:
V. Santhi and S. Vijayakumar. Speckle Noise Reduction in SAR Images using Neuro-Fuzzy Approach.
DOI: https://doi.org/10.36478/ijscomp.2021.90.98
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2021.90.98