提出一种基于线特征的道路网变化检测算法。首先根据边缘的梯度信息从多时相遥感图像中提取变化的线特征;然后根据变化线特征的局部特性,检测出与道路模型相符合的变化道路段;最后通过道路网的全局约束条件,进行变化道路段的连接,实现变化道路的检测。提出的道路网变化检测算法将边缘的相位和幅度信息作为变化检测的判定依据,从而避免了道路的匹配与比较工作,降低了变化检测算法的复杂度,具有很强的实用性。将本文提出的方法用于多时相遥感图像的道路网变化检测,从实验结果可以看出该方法的有效性。

A road network change detection algorithm based on linear feature is proposed in this paper. Firstly, changed linear features are detected based on edge gradient information from multi-temporal remote sensing images. Secondly, the changed roads that fit well with the constraints of the model of road are extracted according to the local property of changed linear features. Finally, the changed roads are connected to changed road network based on the global connection constraints. This road network change detection approach uses the gradient information of edges as the change detection element instead of matching the line information, so it decreases the complexity of the change detection. The experimental results in multi-temporal remote sensing show the effectiveness of the proposed approach.