GF-4 Satellite and Automatic Identification System Data Fusion for Ship Tracking

被引：35

作者：

Liu, Yong ^{[1
]}

Yao, Libo ^{[2
]}

Xiong, Wei ^{[2
]}

Zhou, Zhimin ^{[1
]}

机构：

[1] Natl Univ Def Technol, Sch Elect Sci, Changsha 410073, Hunan, Peoples R China

[2] Naval Aeronaut & Astronaut Univ, Inst Informat Fus, Yantai 264001, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2019年 / 16卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Automatic identification system (AIS); data fusion; GF-4 geostationary satellite; maritime surveillance; SAR;

D O I：

10.1109/LGRS.2018.2869561

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

CF-4 satellite, as the first geostationary orbit optical remote sensing satellite with medium resolution, has the abilities to point and stare at a particular sea area for maritime surveillance. The integration of GF-4 image sequence and automatic identification system (AIS) reports has the appealing potential to provide a better maritime situational awareness by tracking ships, especially noncooperative targets. The aim of this letter is to provide a track-level fusion architecture for GF-4 and AIS heterogeneous data based on the characteristics of different data sources to form a consolidated and comprehensive maritime picture. The proposed fusion strategy is tested in the specific area of the East China Sea, and experimental results verify the effectiveness of our method.

引用

页码：281 / 285

页数：5

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