A Speckle Reduction Method Based on Coupled Partial Differential Equation for Synthetic Aperture Sonar
Pan Huang, Heping Zhong · 2019
Aiming to the problem of losing detailed information of Guass pre-filter in traditional partial differential equation (PDE) method, a speckle reduction method based on coupled PDE for synthetic aperture sonar (SAS) images is proposed in this paper. The proposed method introduce edge strength function in filter processing, which can keep the edge as same as initial image in filter. The evaluation has been carried out using the equivalent number of looks (ENL), edge preserve index(EPI) and image variance as the criteria. Through speckle reduction experiment of real SAS image, comparing the result of proposed method with traditional PDE method and classical Lee filter method, the efficiency of the proposed method is verified.