Speckle noise reduction in SAR images using type-II neuro-fuzzy approach
by S. Vijayakumar; V. Santhi
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 23, No. 3/4, 2022

Abstract: Synthetic aperture RADAR (SAR) images play a vital role in remote sensing applications and thus it insists the requirement of quality enhancement as it gets affected with speckle noise. It is a kind of noise that gets multiplied with pixel intensities due to interference of backscattering signal. In this paper, computational intelligence-based approach is proposed to remove speckle noise by preserving edges and texture information. In particular, the proposed system uses type-II neuro-fuzzy approach using pixel neighbourhood topologies. The performance efficiency of the proposed system is proved by comparing its results with existing methods.

Online publication date: Thu, 03-Nov-2022

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