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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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