Research for road detection technology in low illumination remote sensing image
文献类型:会议论文
作者 | Zhou, Zuofeng1![]() ![]() ![]() |
出版日期 | 2018 |
会议日期 | 2018-05-11 |
会议地点 | Shanghai, China |
关键词 | Remote Sensing Image Low Illumination Road Detection |
卷号 | 10806 |
DOI | 10.1117/12.2502812 |
英文摘要 | 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. © 2018 SPIE. |
产权排序 | 1 |
会议录 | Tenth International Conference on Digital Image Processing, ICDIP 2018
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会议录出版者 | SPIE |
语种 | 英语 |
ISSN号 | 0277786X;1996756X |
ISBN号 | 9781510621992 |
WOS记录号 | WOS:000452819600173 |
源URL | [http://ir.opt.ac.cn/handle/181661/30599] ![]() |
专题 | 西安光学精密机械研究所_动态光学成像研究室 |
通讯作者 | Zhou, Zuofeng |
作者单位 | 1.Xi'an Institute of Optics and Precision Mechanics of, CAS, Shanxi, China; 2.Xi'an Yeying Opto-electronic Co.Ltd, China; 3.University of Chinese Academy of Sciences, Beijing, China |
推荐引用方式 GB/T 7714 | Zhou, Zuofeng,Qiao, Baowen,Hu, Guo Liang,et al. Research for road detection technology in low illumination remote sensing image[C]. 见:. Shanghai, China. 2018-05-11. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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