TY  - JOUR
T1  - Speckle Noise Reduction in SAR Images using Neuro-Fuzzy Approach
AU - Vijayakumar, S. AU - Santhi, V. 
JO  - International Journal of Soft Computing
VL  - 16
IS  - 5
SP  - 90
EP  - 98
PY  - 2021
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2021.90.98
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2021.90.98
KW  - noise reduction
KW  -artificial neural network approach
KW  -fuzzy logic system
KW  -speckle noise
KW  -SAR image
AB  - 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.
ER  -