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基于知识的中高分辨率光学卫星遥感影像桥梁目标识别研究
Knowledge-Based Bridge Recognition in High Resolution Optical Imagery
【摘要】 桥梁是重要的人工建筑。对桥梁进行识别研究,在民用上和军事上部具有很重要的意义。该文提出一套针对中高分辨率光学卫星遥感图像上大中型桥梁的检测和识别的流程。首先根据光学卫星图像特点,运用分割和形态学算子提取河流;沿着河流中心线对桥梁进行检测;经过边缘提取、线段跟踪、直线拟合、边线配对等处理后对检测出的桥梁进行定位,并获取长度、宽度、方位等桥梁参数。以SPOT-5 5m全色波段图像进行验证,证明本文算法流程对河流上桥梁目标识别是有效的。
【Abstract】 Bridge detection in remote sensing imagery has been a topic of considerable interest. In this paper, a new flow of bridge recognition in high-resolution optical imagery is proposed. Based on the prior knowledge of bridge, potential river regions are segmented and thus the centerline of rivers can be extracted after morphology erosion and dilation operations. Then the bridge detector is implemented along the river centerline in ROI regions. After that, the detected bridges are identified by using two knowledge rules and the characteristics such as location, length, width and orientation of detected bridges can be obtained. Experiments are executed on the SPOT-5 5m-resolution panchromatic imagery, and the results are showing to confirm the validity of the proposed method.
【Key words】 Satellite image; Bridge recognition; Morphology; Straight line fitting;
- 【文献出处】 电子与信息学报 ,Journal of Electronics & Information Technology , 编辑部邮箱 ,2006年04期
- 【分类号】TP751
- 【被引频次】71
- 【下载频次】766