Removing Speckle Noise in Synthetic Aperture Radar Images using Linear Filters
D. Suresh1, S. Manimekalai2, V. Nandakumar3, N. Dhanalakshmi4
1Dr. D. Suresh, Assistant Professor, Department of Computer Science and Engineering, PSNA College of Engineering and Technology, Dindigul (Tamil Nadu), India.
2S. Manimekalai, Assistant Professor, Department of English, PSNA College of Engineering and Technology, Dindigul (Tamil Nadu), India.
3V. Nandakumar, Assistant Professor, Department of Computer Science and Engineering, PSNA College of Engineering and Technology, Dindigul (Tamil Nadu), India.
4Dr. N. Dhanalakshmi, Assistant Professor, Department of Computer Science and Engineering, PSNA College of Engineering and Technology, Dindigul (Tamil Nadu), India.
Manuscript received on 12 January 2020 | Revised Manuscript received on 08 February 2020 | Manuscript Published on 20 February 2020 | PP: 395-397 | Volume-9 Issue-3S January 2020 | Retrieval Number: C10840193S20/2020©BEIESP | DOI: 10.35940/ijitee.C1084.0193S20
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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 (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Speckle is a granular aggravation, typically demonstrated as a multiplicative noise that influences Synthetic aperture radar (SAR) pictures, just as every single cognizant picture. In the course of the most recent three decades, a few techniques have been proposed for the decrease of spot, or despeckling, in SAR pictures. The examination begins with the linear filtering, non-linear filtering, adaptive filtering, and hybrid filtering. In spite of the fact that the old style straight separating strategies have lower execution similarly, the hybridization between them beats than the as of late proposed techniques. Be that as it may, the cautious determination of such filters and their impacting request exceptionally influences the presentation of such filtering methodologies. In this paper, Hybrid filtering is proposed for SAR despeckling, which involves the improved variants of frost, median and mean filters. The presentation of the proposed framework is broke down and contrasted and the as of late SAR despeckling strategies. The outcomes demonstrate that the hybrid filters are focused as they can despeckle the SAR pictures superior to the current methods.
Keywords: Speckle Noise, SAR Images, Despeckling, NLM.
Scope of the Article: Image Security