Author(s)

Ting Yang¹, Lulin Zhang², Haitao Wang², Yong Zhang¹

¹School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China.
²Hubei Institute of Photogrammetry and Remote Sensing, Wuhan, China.

Some studies about road vector map change detection were done in this paper. Firstly, on the basis of old road vector data, the original high resolution remote sensing image was cut into segments. Then, gray analysis and edge extraction of those segments were done so that changes of roads could be detected. Finally, according to the vector data and gray information of roads which were not changed, road templates were extracted and saved automatically. This method was performed on the World View high resolution image of certain parts in the country. The detection result shows that detection correctness is 79.56% and completeness can reach 97.72%. Moreover, the extracted road templates are essentials for the template matching method of road extraction.

Road Vector, High Resolution Remote Sensing Image, Edge Extraction, Change Monitoring

Yang, T. , Zhang, L. , Wang, H. and Zhang, Y. (2014) Road Vector Map Change Monitoring Based on High Resolution Remote Sensing Images. Advances in Remote Sensing, 3, 272-279. doi: 10.4236/ars.2014.34019.