A Multi-stage Method to Extract Road from High Resolution Satellite Image

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Zhijian, Huang^1,2 ; Zhang, Jinfang^2 ; Xu, Fanjiang^2

School of Electronic Science and Engineering, National University of Defense Technology, China^1

Science and Technology on Integrated Information System Laboratory, Institute of Software, Chinese Academy of Sciences, China^2

关键词: Adaptive smoothing;    Automatic information extraction;    Enhancement algorithms;    High resolution satellite images;    Multi-stage methods;    Post processing;    Shape information;    Statistical region merging;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012207/pdf
DOI  :  10.1088/1755-1315/17/1/012207

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Extracting road information from high-resolution satellite images is complex and hardly achieves by exploiting only one or two modules. This paper presents a multi-stage method, consisting of automatic information extraction and semi-automatic post-processing. The Multi-scale Enhancement algorithm enlarges the contrast of human-made structures with the background. The Statistical Region Merging segments images into regions, whose skeletons are extracted and pruned according to geometry shape information. Setting the start and the end skeleton points, the shortest skeleton path is constructed as a road centre line. The Bidirectional Adaptive Smoothing technique smoothens the road centre line and adjusts it to right position. With the smoothed line and its average width, a Buffer algorithm reconstructs the road region easily. Seen from the last results, the proposed method eliminates redundant non-road regions, repairs incomplete occlusions, jumps over complete occlusions, and reserves accurate road centre lines and neat road regions. During the whole process, only a few interactions are needed.