基于遥感影像的地图道路网数据变化检测研究

Change Detection of Road Networks Based on Remote Sensing Image

在遥感影像和地图道路网数据精确配准的基础上,提出了利用缓冲区约束下的、基于知识判断的多尺度模板匹配方法检测变化的道路,对旧地图中的道路变化情况自动检测;采用自动赋初值的LSB-Snake模型半自动检测新增道路。实验表明,所提出的方法可以有效地检测道路变化,达到较高的自动化程度。

We detected the changes of roads in outdated vector map using updated RS image automatically and semi-automatically. The changes of roads in map can be described by two types： one is partial changed or diminished compared with updated RS image; the other is new. Based on the registration of RS images and road networks map, we detect the changes of the two types as follows, one is, based on old map road networks, partial changes or diminishes in roads are detected on images automatically, buffer distance is defined and methods of multi-scale template matching and strategy of knowledge is developed in this process; the other is, based on RS images, new roads are extracted semi-automatically. The model of auto-initial-value LSB-Snake is developed to extract new added road for the purpose. Experiments indicate the methods can detect the changes of roads in outdated vector map effectively and automatically.