An Effective Hybrid Algorithm for De-Speckling the Speckle Noise in SAR Images
Natteshan N V S1, N. Suresh Kumar2
1Natteshan N V S, Department of CSE, VIT, Vellore (Tamil Nadu), India.
2N. Suresh Kumar, Department of CSE, VIT, Vellore (Tamil Nadu), India.
Manuscript received on 26 November 2019 | Revised Manuscript received on 08 December 2019 | Manuscript Published on 14 December 2019 | PP: 252-255 | Volume-9 Issue-1S October 2019 | Retrieval Number: A10511091S19/19©BEIESP | DOI: 10.35940/ijeat.A1051.1091S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Image Processing has emerged as an essential lookup domain in circuit branches for quite a few decades. SAR is a type of Radar. It is connected to pics of articles like scene. It applies e SAR receiving wide development to the target for acquiring better spatial resolution than what is got through customary beam-scanning radars. In digital image processing field, processing Synthetic Aperture Radar is unexpectedly gaining focus. Very similar to all image processing methods, issues such as edge detection, enhancement and noise reduction are vital lookup troubles in SAR images also. Of late, speckle noise has emerged as a massive issue. Because of its presence, the SAR Images are classified as robust and multiplicative noises. Effecting speckle noise reduction in Synthetic Aperture Radar photographs is pretty challenging. Synthetic Aperture radar and its description is used in the utility of Flood prediction mapping. In this paper we implemented a better methodology for de-speckling Synthetic Aperture Radar imagery by way of using Fuzzy Discontinuity adaptive Non neighborhood potential filter. Application of fuzzy strategy to Importance sampling unscented kalman filter produces better end result than compared with fuzzy frost filter and also the TMAV and ATMAV produces higher end result therefore it can be a satisfactory filter for de-speckling.
Keywords: Fuzzy Approach, SAR, De-Speckling, Unscented Kalman Filter.
Scope of the Article: Image Security