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REMOTE SENSING FOR LAND & RESOURCES    2014, Vol. 26 Issue (4) : 29-33     DOI: 10.6046/gtzyyg.2014.04.05
Technology and Methodology |
Road edge detection based on dual-threshold SSDA template matching
QUE Haoyi1, HUANG Huixian1, XU Jianmin2
1. The College of Information Engineering, Xiangtan University, Xiangtan 411105, China;
2. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510200, China
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Abstract  

Extracting road edge information from remote sensing image can simplify the conventional urban road mapping work. Based on the general road image features, this paper proposes a dual-threshold SSDA (sequential similarity detection algorithm) template matching method in an image processing model. And on the basis of the general SSDA, another algorithm is presented to reduce the excessive number of samples responsible for the error growth. Compared with other algorithms, this algorithm can more effectively access the road edge information extraction. As for some parts of the road which cannot be completely extracted through pretreatment process, the detection results can be corrected to reduce treatment, and hence the processing efficiency will be improved.

Keywords satellite remote sensing      numerical ocean model      tidal creeks      terrain reversion      fractional vegetation cover(FVC)      Dongtan of Chongming     
:  TP75  
Issue Date: 17 September 2014
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ZHENG Zongsheng
ZHOU Yunxuan
TIAN Bo
WANG Jian
LIU Zhiguo
Cite this article:   
ZHENG Zongsheng,ZHOU Yunxuan,TIAN Bo, et al. Road edge detection based on dual-threshold SSDA template matching[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(4): 29-33.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2014.04.05     OR     https://www.gtzyyg.com/EN/Y2014/V26/I4/29

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