基于小波变换的水天线提取算法研究

Research on Water-sky-line Detection Technique Based on Wavelet Transform

文中提出了一种基于小波变换的复杂背景下受强杂波、噪声污染的水天线的检测算法。该算法利用了小波变换的多尺度特性,将要检测的图像进行多尺度小波变换,再采用多尺度边缘匹配,将不同尺度的输出集成为一个简单边缘图像。仿真试验结果表明,该方法可较强的抑制强杂波背景和强噪声的干扰,能有效检测出复杂海面背景中的水天线。

The algorithm based on wavelet transform is presented to resolve detection of the water-sky-line polluted by heavy noise.Firstly,the image is wavelet transformed applying multiscale characteristics of wavelet.Then the output image with different scale is integrated into a simple edge image by using multiscale edge match technique.As a result,the water-sky-line are extracted.The experimental results show that the algorithm can eliminate the strong clutter and noise,and is especially suited for the extraction of water-sky-line from the background of sea level.