Abstract
Protecting a harbour against intentional and accidental threats is extremely difficult. Harbours are not closed systems. Rather, they are focal points for the movement of people and cargo, both in land and on water. As such, threats can arise from many sources that range from the smuggling of illegal and dangerous goods to the placement of mines to damage or destroy shipping. To detect the many different types of threats, a harbour must be monitored by multiple sensing systems with different sensing modalities. To be practical, such a large sensing system must be cost effective to install, can be readily upgraded, and should be robust to sensor and communication failures. In this chapter we discuss the role that distributed data fusion can play in harbour protection. We define and discuss distributed data fusion algorithms and illustrate how they could be used in port surveillance and Maritime Domain Awareness applications.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Dalburg J et al. 2007. Developing a Viable Approach for Effective Tiered Systems. NRL Memorandum Report 1001-07-9024.
Durrant-Whyte HF, Stevens M. 2001. Data Fusion in Decentralised Networks. University of Sydney, Australia.
Grime S, Durrant-Whyte HF. 1994. Data Fusion in Decentralized Sensor Fusion Networks. Control Engineering Practice, Volume 5, no. 2. p 849–863.
Julier SJ, Uhlmann JK. 2001. General Decentralized Data Fusion with Covariance Intersection (CI). In: Hall DA, Llinas J, editors. Handbook of Multisensor Data Fusion. CRC Press LLC, Boca Raton, London, New York, Washington, DC. p 12-1–12-18.
Julier SJ, Uhlmann KJ, Walters J, Mittu R, Palaniappan K. 2006. The Challenge of Scalable and Distributed Fusion of Disparate Sources of Information. In: Proceedings of the Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications Conference. SPIE Defence and Security Symposium, Volume 6242. Orlando, FL.
Nettleton EW, Durrant-Whyte HF, Gibbens PW, Goktogan AH. 2000. Multiple Platform Localisation and Map Building. In: Proceedings of Sensor Fusion and Decentralized Control in Robotic Systems III Conference, SPIE Photonics East, Volume 4196. Boston, MA.
Nicholson D and Leung V. 2004. Managing a Distributed Data Fusion Network. In: Proceedings of the Signal Processing, Sensor Fusion and Target Recognition, XIII Conference, SPIE Defence and Security Symposium, Volume 5429. Orlando, FL.
Shahbazian E, DeWeert J, Rogova G. 2006. Findings of the NATO Workshop on Data Fusion Technologies for Harbour Protection. In: Proceedings of the Photonics for Port and Harbour Security II Conference, SPIE Defence and Security Symposium, Volume 6204. Orlando, FL.
Pao LY. 1994. Distributed Multisensor Fusion. In: Proceedings of the AIAA Guidance, Navigation and Control Conference. Scottsdale, AZ. p 82–91.
Utete SW. 1995. Network Management in Decentralised Sensing Systems [dissertation]. Robotics Research Group, Oxford.
The Cooperative Engagement Capability. 1995. Johns Hopkins APL Technical Digest, Volume 16, no. 4. p 337–396.
http://www.fbi.gov/intelligence/di_ints.htm [Internet].
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer Science + Business Media B.V.
About this paper
Cite this paper
Julier, S.J., Mittu, R. (2009). Distributed Data Fusion and Maritime Domain Awareness for Harbour Protection. In: Shahbazian, E., Rogova, G., DeWeert, M.J. (eds) Harbour Protection Through Data Fusion Technologies. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8883-4_23
Download citation
DOI: https://doi.org/10.1007/978-1-4020-8883-4_23
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-8882-7
Online ISBN: 978-1-4020-8883-4
eBook Packages: Computer ScienceComputer Science (R0)