A multi-sensor scenario for coastal surveillance

A. C. van den Broek; S. P. van den Broek; J. C. van den Heuvel; Piet B. W. Schwering; Ad W. P. van Heijningen

doi:10.1117/12.736646

5 October 2007 A multi-sensor scenario for coastal surveillance

A. C. van den Broek, S. P. van den Broek, J. C. van den Heuvel, Piet B. W. Schwering, Ad W. P. van Heijningen

Proceedings Volume 6736, Unmanned/Unattended Sensors and Sensor Networks IV; 67360P (2007) https://doi.org/10.1117/12.736646
Event: Optics/Photonics in Security and Defence, 2007, Florence, Italy

Abstract

Maritime borders and coastal zones are susceptible to threats such as drug trafficking, piracy, undermining economical activities. At TNO Defence, Security and Safety various studies aim at improving situational awareness in a coastal zone. In this study we focus on multi-sensor surveillance of the coastal environment. We present a study on improving classification results for small sea surface targets using an advanced sensor suite and a scenario in which a small boat is approaching the coast. A next generation sensor suite mounted on a tower has been defined consisting of a maritime surveillance and tracking radar system, capable of producing range profiles and ISAR imagery of ships, an advanced infrared camera and a laser range profiler. For this suite we have developed a multi-sensor classification procedure, which is used to evaluate the capabilities for recognizing and identifying non-cooperative ships in coastal waters. We have found that the different sensors give complementary information. Each sensor has its own specific distance range in which it contributes most. A multi-sensor approach reduces the number of misclassifications and reliable classification results are obtained earlier compared to a single sensor approach.

Citation Download Citation

A. C. van den Broek, S. P. van den Broek, J. C. van den Heuvel, Piet B. W. Schwering, and Ad W. P. van Heijningen "A multi-sensor scenario for coastal surveillance", Proc. SPIE 6736, Unmanned/Unattended Sensors and Sensor Networks IV, 67360P (5 October 2007); https://doi.org/10.1117/12.736646

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