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Ship Surveillance by Integration of Space-borne SAR and AIS – Further Research

Published online by Cambridge University Press:  20 November 2013

Zhi Zhao*
Affiliation:
(College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, P. R. China)
Kefeng Ji
Affiliation:
(College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, P. R. China)
Xiangwei Xing
Affiliation:
(College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, P. R. China)
Huanxin Zou
Affiliation:
(College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, P. R. China)
Shilin Zhou
Affiliation:
(College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, P. R. China)
*

Abstract

Many countries are making increased efforts to improve marine security and safety and develop ship surveillance techniques to satisfy the increasing demands. Space-borne Synthetic Aperture Radar (SAR) delivers high performance day/night all weather capabilities and a space-based Automatic Identification System (AIS) can give near real time and global coverage. Limited by the development of sensors and data processing techniques, the integration of space-borne SAR and AIS has much to offer ship surveillance. State-of-the-art data fusion methods have generally provided satisfactory performance. However, in high-density shipping or high sea-states, performance quality is less assured. This paper firstly investigates improved data association methods. The association methods based on the position feature are improved, and multi-feature-based association methods are proposed. Then, ship identification and tracking by the integration of space-borne SAR and AIS are researched further. Multi-source data fusion strategy is also investigated. Finally, the discussion is presented and the future works are emphasized in the conclusion.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2013 

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