作　　者： ; ;

机构地区： 北京航空航天大学电子信息工程学院

出　　处： 《电子与信息学报》 2003年第4期467-472,共6页

摘　　要： 边缘检测是图像分析的基础,在对SAR图像进行边缘检测时,由于SAR图像存在很强的相干乘性斑点噪声,几乎没有一种方法既能有效地检测边缘又能排除斑点噪声的影响而不产生较多的虚假边缘,特别是在低视数SAR的情况下,该文指出了在低视数情况下应当如何对Touzi ratio边缘检测方法和最大似然(ML)边缘方法的检测窗口进行改进,在对SAR图像进行边缘检测时,引入了自适应窗口的方法,并将其应用到Touzi ratio边缘检测和最大似然 (ML)两个恒虚警边缘检测算法中,取得了很好的改进效果,引入自适应窗口的方法也适用于其它的SAR图像边缘检测算法。 Due to the multiplicative nature of the speckle noise in SAR images, for edge detecting of SAR images, few method can be found to detect edges efficiently while depress the speckle noise effects without too much false edges, especially in the low look number SAR image case. In this paper, discussions are presented on the improvement of Touzi ratio edge detect method and maximum likelihood method in the low look number SAR image case, and then an adaptive window technique is introduced into SAR image edge detection. The adaptive windows are applied to the two Constant False Alarm Ratio (CFAR) edge detection algorithms mentioned above and fine improvement has been achieved. The technique is also proper for other SAR image edge detection algorithms.

关 键 词： 合成孔径雷达 自适应窗口 图像边缘检测算法 最大似然

领　　域： [电子电信] [电子电信]