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Proceedings Paper

Research for road detection technology in low illumination remote sensing image
Author(s): Zuofeng Zhou; Baowen Qiao; Guo Liang Hu; Huimin Huang; Ting Zhao; Hongtao Yang; Jianzhong Cao
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Paper Abstract

In this paper, a road detection algorithm from the low illumination remote sensing images is proposed. First, the top-hat transform is used to enhance the edge information in low illumination images. Next, a road detection method based on parallel lines is proposed to detect the parallel characteristics of the two edges of the road. The experiment results show that the proposed algorithm can detect the road information effectively and precisely.

Paper Details

Date Published: 9 August 2018
PDF: 6 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108064U (9 August 2018); doi: 10.1117/12.2502812
Show Author Affiliations
Zuofeng Zhou, Xi'an Institute of Optics and Precision Mechanics, CAS (China)
Baowen Qiao, Xi'an Institute of Optics and Precision Mechanics, CAS (China)
Univ. of Chinese Academy of Sciences (China)
Guo Liang Hu, Xi’an Institute of Optics and Precision Mechanics, CAS (China)
Univ. of Chinese Academy of Sciences (China)
Huimin Huang, Xi'an Institute of Optics and Precision Mechanics, CAS (China)
Univ. of Chinese Academy of Sciences (China)
Ting Zhao, Xi’an Institute of Optics and Precision Mechanics, CAS (China)
Univ. of Chinese Academy of Sciences (China)
Hongtao Yang, Xi'an Institute of Optics and Precision Mechanics, CAS (China)
Jianzhong Cao, Xi’an Institute of Optics and Precision Mechanics, CAS (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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