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Speckle Suppression by Weighted Euclidean Distance Anisotropic Diffusion

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China
China Academy of Space Technology, Beijing 100094, China
School of Geomatics, Liaoning Technical University, Fuxin 123000, China
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(5), 722;
Received: 21 April 2018 / Revised: 5 May 2018 / Accepted: 7 May 2018 / Published: 8 May 2018
(This article belongs to the Section Remote Sensing Image Processing)
PDF [7326 KB, uploaded 8 May 2018]


To better reduce image speckle noise while also maintaining edge information in synthetic aperture radar (SAR) images, we propose a novel anisotropic diffusion algorithm using weighted Euclidean distance (WEDAD). Presented here is a modified speckle reducing anisotropic diffusion (SRAD) method, which constructs a new edge detection operator using weighted Euclidean distances. The new edge detection operator can adaptively distinguish between homogenous and heterogeneous image regions, effectively generate anisotropic diffusion coefficients for each image pixel, and filter each pixel at different scales. Additionally, the effects of two different weighting methods (Gaussian weighting and non-linear weighting) of de-noising were analyzed. The effect of different adjustment coefficient settings on speckle suppression was also explored. A series of experiments were conducted using an added noise image, GF-3 SAR image, and YG-29 SAR image. The experimental results demonstrate that the proposed method can not only significantly suppress speckle, thus improving the visual effects, but also better preserve the edge information of images. View Full-Text
Keywords: synthetic aperture radar; speckle filtering; Euclidean distance; edge detection; anisotropic diffusion synthetic aperture radar; speckle filtering; Euclidean distance; edge detection; anisotropic diffusion

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Guo, F.; Zhang, G.; Zhang, Q.; Zhao, R.; Deng, M.; Xu, K. Speckle Suppression by Weighted Euclidean Distance Anisotropic Diffusion. Remote Sens. 2018, 10, 722.

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