基于多方向小波模糊融合的SAR图像边缘提取

合成孔径雷达图像通常带有较强的相干斑噪声。传统的边缘检测算法难以兼顾噪声抑制，检测边缘的完整性和定位的准确性，针对合成孔径雷达自身的特点，利用多方向小波变换各尺度间边缘梯度信息的关联及各方向上边缘梯度信息的互补，提出一种将小波变换的多方向多尺度与模糊积分相结合的边缘特征提取算法．这种算法能在有效克服斑点噪声影响的同时保留弱边缘．融合边缘比较完整．边缘定位准确。

Edge extraction in SAR images using multidirection wavelet and fuzzy fusion

Edge extraction plays an improtant role in automatic processing of SAR images. It is difficult for conventional edge extraction methods to take account of noise suppression, the integrity of edges and the veracity of position synchronously due to the existence of the stronger speckle. Based on the analysis of the characteristics of SAR images, a fuzzy fusion algorithm for edge extraction is presented in this paper, which is composed of multi-direction, multi-scale wavelet transform and fuzzy integral in terms of the relationship between mutli-scale edge grads information and the mutual supplement of multi-direction edge grads information. Experimental results show that the proposed algorithm can suppress noise and preserve weak edges effectively, and that the fused edges have precise positions and an intact contour.