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Title:
A multi-stage method to extract road from high resolution satellite image
Author: Zhijian, Huang (1) ; Zhang, Jinfang (2) ; Xu, Fanjiang (2)
Conference Name: 35th International Symposium on Remote Sensing of Environment, ISRSE 2013
Conference Date: April 22, 2013 - April 26, 2013
Issued Date: 2014
Conference Place: Beijing, China
Publish Place: Institute of Physics Publishing
Indexed Type: EI
ISSN: 17551307
Department: (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
Abstract: 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.
English Abstract: 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.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/16593
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Zhijian, Huang ,Zhang, Jinfang ,Xu, Fanjiang . A multi-stage method to extract road from high resolution satellite image[C]. 见:35th International Symposium on Remote Sensing of Environment, ISRSE 2013. Beijing, China. April 22, 2013 - April 26, 2013.
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