TITLE:
De-Speckling of SAR Images with Fuzzy Filters along with Altered Preserved Edge Values
AUTHORS:
Md. Mynoddin, Mohd. Foyzul Kabir, Nazrul Islam, Rezaul Karim, Hasin Rehana, Sayed Asaduzzaman
KEYWORDS:
SAR Image, Image Processing, Fuzzy Logic, Speckle Noise, Noise Reduction
JOURNAL NAME:
Journal of Computer and Communications,
Vol.10 No.3,
March
17,
2022
ABSTRACT: In this research, the denoising of speckled SAR image has been done with fuzzy filters (ATMED, TMED, ATMAV & TMAV). SAR image or Synthetic Aperture Radar image consists of the informatics of ISW (Internal solitary waves). A new technique has been proposed which preserved the edge pixels by fuzzy edge detection method and then altered with the filtered image-pixels by fuzzy filtration for getting the denoised image. The comparative result shows that the proposed filter performs better than the other filtered results in terms of PSNR (41.61 dB), MAE (1.47), MSE (4.54) for TMAVxAPE & SSIM (81%) for ATMEDwAPE. The proposed method in this research shows better SSI (Spackle Suppression Index) value. Therefore the experimental result illustrates that the suggested fuzzy filter is much more capable of simultaneously protecting edges and suppressing speckle noise. This research will be beneficial to remove spackle noise from SAR images and can be used for remote sensing and mapping of surface area of earth.