由于遥感图像一般带有较大的噪声,通过实验表明,用传统的边缘检测方法效果不理想.采用小波方向性检测技术并结合数学形态学的方法,提出了一种基于小波变换和小尺度的数学形态学的遥感图像边缘检测方法.实验表明本算法计算有效,边缘定位准确,对噪声有一定的抑制作用,边缘检测效果明显.

Experiments indicate that the traditional methods of edge detection are not ideal because of the bigger noise of remote sense image. With the combination of wavelet directivity checkout technology and small－scale mathematical morphology, an algorithm of remote sense image processing based on wavelet transform and mathematics morphology is presented. Edge detection on remote sense image is carried out with the algorithm. It is indicated that the calculation is effective. Position at the edge can be accurately located, the noise can be inhibited at certain extent, and the effect of edge detection is obvious.