Edge enhancement using fuzzy anisotropic diffusion for remote sensing image
各向异性扩散的遥感图像边缘增强方法

To solve the problem of distinguishing noise from weak edges, this paper proposed a novel fuzzy anisotropic diffusion approach for remote sensing image edge enhancement. At first, it gathered the geometrical information pixel by pixel from the NSCT coefficients. Then, it obtained the mean and max fuzzy membership values by analyzing the distribution of coefficients and noise variance in different sub-bands. At last, calculated the diffusion coefficients through fuzzy inference and embedded it into anisotropic diffusion to better control on the diffusion processing. Experiments show that the proposed method has better edge enhancement and de-noised performance and efficiently preserve the weak edges and reduce the time complexity.