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	Mining channel water depth information from IoT-based big automated identification system data for safe waterway navigation
	He, Zhengwei; Yang, Fan*; Li, Zhong; Lu, Kezhong; Xiong, Naixue
刊名	IEEE Access
	2018
卷号	6页码:75598-75608
关键词	BP neural network Big AIS Data IoT clustering and data fusion navigation safety vessel trajectory
ISSN号	2169-3536
DOI	10.1109/ACCESS.2018.2883421
URL标识	查看原文
WOS记录号	WOS:000454288100001
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3395758
专题	武汉理工大学
作者单位	1.[Lu, Kezhong 2.He, Zhengwei 3.Yang, Fan 4.Li, Zhong] Wuhan Univ Technol, Sch Nav, Wuhan 430063, Hubei, Peoples R China.
推荐引用方式 GB/T 7714	He, Zhengwei,Yang, Fan*,Li, Zhong,et al. Mining channel water depth information from IoT-based big automated identification system data for safe waterway navigation[J]. IEEE Access,2018,6:75598-75608.
APA	He, Zhengwei,Yang, Fan*,Li, Zhong,Lu, Kezhong,&Xiong, Naixue.(2018).Mining channel water depth information from IoT-based big automated identification system data for safe waterway navigation.IEEE Access,6,75598-75608.
MLA	He, Zhengwei,et al."Mining channel water depth information from IoT-based big automated identification system data for safe waterway navigation".IEEE Access 6(2018):75598-75608.

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