Research for road detection technology in low illumination remote sensing image

Zuofeng Zhou; Baowen Qiao; Guo Liang Hu; Huimin Huang; Ting Zhao; Hongtao Yang; Jianzhong Cao

doi:10.1117/12.2502812

9 August 2018 Research for road detection technology in low illumination remote sensing image

Zuofeng Zhou, Baowen Qiao, Guo Liang Hu, Huimin Huang, Ting Zhao, Hongtao Yang, Jianzhong Cao

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108064U (2018) https://doi.org/10.1117/12.2502812
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

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.

Citation Download Citation

Zuofeng Zhou, Baowen Qiao, Guo Liang Hu, Huimin Huang, Ting Zhao, Hongtao Yang, and Jianzhong Cao "Research for road detection technology in low illumination remote sensing image", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108064U (9 August 2018); https://doi.org/10.1117/12.2502812

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