分割道路影像并形成道路网的新方法

A New Method to Segment Road Image and Produce Road Network

根据卫星影像提取道路信息过程,提出了一种从高分辨率卫星影像中提取道路网的新方法。先找到一点处纹理和灰度一致性最优方向,以此方向上的纹理描述值构成分割用特征矢量,将MRF模型应用于特征空间分割出道路目标。接着用改进的直线段匹配法去除以错分点组成的斑块,并借助仿真实验手段取得道路段中心线。连接中心线形成道路网。仿真结果验证了新方法的正确性。

A new strategy is presented for partitioning roads from other objects and producing road networks.The fist step is to find the direction at every pixel,along which the gray value and texture are most consistent.The descriptions of texture in this direction consist of the feature vector.An improved MRF model is then applied to the feature space to accomplish segmentation.The segmented rough road bands are smoothed by an improved line segment matching method,meanwhile,irregular speckles constituted of misclassified pixels are removed.Next,the central lines of roads bands are detected by morphological approaches.Connecting central lines finally produces road networks.Experiments show the efficiency of the proposed method.