一种使用灰度梯度提取合成孔径雷达图像灰度边界的方法

A LUMINANCE EDGE DETECTION METHOD USINGGRADIENT OF GRAY LEVEL FOR SYNTHETICAPERTURE RADAR IMAGERY

在合成孔径雷达数字成像的多级成像和合成孔径雷达图像的许多应用中,往往需要提取合成孔径雷达图像的灰度边界特征。人们对于由可见光或红外成像系统获得的普通图像的灰度边界提取已经进行了很多研究。使用灰度梯度提取普通图像的灰度边界非常有效,得到了广泛的应用.但由于在合成孔径雷达图像中存在严重的相干斑噪声,有人认为使用灰度梯度提取合成孔径雷达图像的灰度边界得不到好的结果。在本文中,我们考虑到合成孔径雷达图像的特性,给出了一种比较理想的提取合成孔径雷达图像的灰度边界的方法。这种方法使用相对平均灰度梯度,并且把检测与跟踪结合起来。

In the multistage imaging proc ssing for SAR digital imaging and the applications of SAR image, it is often required to extract the luminance edge features of the SAR imagery. It has been studied to extract the luminance edge features for the ordinary imagery-produced by visible or infrared imaging system The methods using gradient are effectivery for the extraction of the luminance edge features of the ordinary imagery and commonly used. Because the serious noise of coherent speckle exists in the SAR imagery, some people believe that edge extraction using gradient for SAR imagery gives poor results. However in this paper, a rather ideal method is derived for the extraction of luminance edge features for SAR imagery with the consideration of 'he characteristics of SAR imagery. This method uses the relative average gradient and combines detection with tracking.