提出一种高分辨率遥感图像中水上桥梁的自动识别方法. 根据水域的均质性将图像分割成水域和非水域两部分，扫描非水域部分对桥梁进行粗提取. 以粗提取所获得的区域中心为起始点进行区域增长，用全方向扫描获取临界区域，进而计算桥梁方向. 最后沿桥梁方向往桥梁两边延伸，获得精确的桥梁区域. 实验表明该方法可以自动识别出高分辨率遥感图像中的水上桥梁目标，精确度高，鲁棒性好.

An automatic detection method to identify bridges over water in high-resolution remote-sensing images is proposed. The input image is first segmented into two water and non-water areas according to homogeneity of the water area. The image is scanned, and the bridge is extracted from the non-water area. The orientation of the bridge is determined using region growing and multiple-direction scanning. The bridge is then accurately outlined from the coarse extraction by extension along its orientation. Experimental results show that the proposed method can automatically detect bridge over water in high-resolution remote-sensing images. Performance evaluation indicates that the proposed method is robust and accurate.