In order to effectively preserve SAR image edges while filtering

the authors propose an anisotropic diffusion filtering algorithm for speckle noise based on speckle reduction anisotropic diffusion (SRAD) model.On one hand

it can be proved that the diffusion coefficient in the proposed algorithm theoretically satisfies the conditions for the design of diffusion coefficients presented by Charbonnier

et al;on the other hand

the proposed algorithm can achieve a series of different filtered results

through the simple adjustment of two parameters.One parameter is a threshold of the accumulative histogram in the edge image

and the other one is a threshold of the relative signal to noise ratio.And the algorithm is applicable in different applications

including mapping and applications in which fine details and high resolution are required.The experimental results show that the proposed algorithm has capabilities of efficiently filtering speckle noise and preserving edge and texture features.Moreover

it outperforms the four traditional filtering methods in speckle smoothing

edge and texture preservation and visual assessment.