A Novel Method for Detecting and Identifying Road Junctions from High Resolution SAR Images
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摘要: 道路交叉口是道路网的重要组成部分,对GIS 数据更新、影像匹配、目标检测等具有重要作用。由于受各种干扰以及道路与周围地物对比度不明显等影响,传统道路交叉口检测方法很难应用于高分辨率SAR 图像。该文提出一种直接检测识别道路交叉口的新方法。该方法先根据交叉口的灰度特征,利用形态学变换,全局搜索交叉口候选区域中心点位置|然后以此为局部窗口中心,采用多阈值Otsu分割出各个局部窗口内道路目标|接着根据交叉口的几何特征,通过矩形旋转得到角度均值图,获取与交叉口相连的道路个数,最终识别出交叉口的类型。使用1 m 机载高分辨率SAR 图像进行实验,结果证明该方法可有效提取出各种干扰下的交叉口目标。Abstract: Road junctions are important parts of the road network, and have a major role in GIS database updating, image matching, object detecting, and so on. In high resolution SAR images, there exist various kinds of interference on the road, and the contrast is not obvious between roads and surroundings. It is difficult to extract road junctions by traditional methods. A new method is proposed for directly detecting and identifying road junctions in this paper. Firstly, based on the junctions gray feature, global searching is done for the center positions of the road junctions candidate regions, by using morphological transformation methods. Secondly, the center positions are set as the local windows centers, road targets are segmented by using the multi-threshold Otsu method in the local windows. Thirdly, according to the geometric characteristics of junctions, we obtain the angle-mean figure in the rectangular template rotation process, and then get the number of the roads connected to a junction. Finally, the style of the junction is recognized. In 1 m high-resolution airborne SAR image experiment, the results indicate that this method is effective to detect and identify the junctions with various interferences.
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Key words:
- SAR /
- Road junction /
- Region detection /
- Shape identification
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