Towards an automatic system for road lane marking extraction in large-scale aerial images acquired over rural areas by hierarchical image analysis and Gabor filter
Towards an automatic system for road lane marking extraction in large-scale aerial images acquired over rural areas by hierarchical image analysis and Gabor filter
复制标题
DOI：
10.1080/01431161.2011.620031
复制
发表时间：
2012-01-01
影响因子：
3.4
通讯作者：
Li, Maoxun
中科院分区：
文献类型：
--
作者：
Jin, Hang;Feng, Yanming;Li, Maoxun
提出了一种从高分辨率航空影像中自动提取道路车道线的方法，该方法基于层次图像分析，能够自动检测出农村地区的路面。通过从低分辨率图像中获得道路中心线，简化了该过程。利用二维Gabor滤波器在生成的道路表面上进一步提取车道标线。将提出的方法应用于昆士兰州金皮周围布鲁斯公路的航拍图像。利用四个有代表性的试验场对生成的路面和车道标线进行了评估，验证了该方法的有效性。
An automatic approach to road lane marking extraction from high-resolution aerial images is proposed, which can automatically detect the road surfaces in rural areas based on hierarchical image analysis. The procedure is facilitated by the road centrelines obtained from low-resolution images. The lane markings are further extracted on the generated road surfaces with 2D Gabor filters. The proposed method is applied on the aerial images of the Bruce Highway around Gympie, Queensland. Evaluation of the generated road surfaces and lane markings using four representative test fields has validated the proposed method.