基于遥感影像的地图道路网数据变化检测研究

基金项目: 北京市新世纪百千万人才工程培养基金资助项目

详细信息

Change Detection of Road Networks Based on Remote Sensing Image

¹Beijing Institute of Surveying and Mapping,15 Yangfangdian Road,Beijing 100038,China

Funds: 北京市新世纪百千万人才工程培养基金资助项目

摘要: 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。
- 变化检测 /
- 遥感影像 /
- 地图道路网 /
- 矢量数据
Abstract: We detected the changes of roads in outdated vector map using updated RS image automatically and semi-automatically.The changes of roads in map can be described by two types: one is partial changed or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 detceted 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developed to extract new added road for the purpose.Experiments indicate the methods can detect the changes of roads in outdated vector map effectively and automatically.
- change detections /
- RS images /
- road networks /
- vector data