A multi-stage method to extract road from high resolution satellite image

ISCAS OpenIR

	A multi-stage method to extract road from high resolution satellite image
	Zhijian, Huang (1); Zhang, Jinfang (2); Xu, Fanjiang (2)
	2014
会议名称	35th International Symposium on Remote Sensing of Environment, ISRSE 2013
会议日期	April 22, 2013 - April 26, 2013
会议地点	Beijing, China
收录类别	EI
出版地	Institute of Physics Publishing
ISSN	17551307
部门归属	(1) School of Electronic Science and Engineering, National University of Defense Technology, China; (2) Science and Technology on Integrated Information System Laboratory, Institute of Software, Chinese Academy of Sciences, China
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.; 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.
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16593
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Zhijian, Huang ,Zhang, Jinfang ,Xu, Fanjiang . A multi-stage method to extract road from high resolution satellite image[C]. Institute of Physics Publishing,2014.