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has been cited by the following article:

• 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.