关键词: 高分辨率, 高速公路检测, 多级中值滤波, 非线性权重, Hough变换

Abstract: Concerning the characteristics of freeways in high-resolution Synthetic Aperture Radar (SAR) images, this paper proposed a detection algorithm for freeways. The algorithm mainly used multilevel nonlinear weighted mean median filtering algorithm and Hough transform. First, multilevel nonlinear weighted mean median filtering was run to the original highresolution SAR images. It can not only inhibit speckle noise more effectively but also preserve the geometrical features of the original SAR images. Then, Hough transform was run to filtered images to detect freeways, and superposed the detected information on the original SAR images to display. The experimental results indicate that the algorithm can detect freeways rapidly and effectively from highresolution SAR images got from different modes.

Key words: High-resolution, freeway detection, multilevel median filter, nonlinear weight, Hough transform