中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research for road detection technology in low illumination remote sensing image

文献类型:会议论文

作者Zhou, Zuofeng1; Qiao, Baowen1,2; Hu, Guo Liang1,3; Huang, Huimin1,3; Zhao, Ting1,3; Yang, Hongtao1; Cao, Jianzhong1
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
DOI10.1117/12.2502812
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
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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