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Proceedings Paper

Persistent maritime surveillance using multi-sensor feature association and classification
Author(s): Sebastiaan P. van den Broek; Piet B. W. Schwering; Kwan D. Liem; Ric Schleijpen
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Paper Abstract

In maritime operational scenarios, such as smuggling, piracy, or terrorist threats, it is not only relevant who or what an observed object is, but also where it is now and in the past in relation to other (geographical) objects. In situation and impact assessment, this information is used to determine whether an object is a threat. Single platform (ship, harbor) or single sensor information will not provide all this information. The work presented in this paper focuses on the sensor and object levels that provide a description of currently observed objects to situation assessment. For use of information of objects at higher information levels, it is necessary to have not only a good description of observed objects at this moment, but also from its past. Therefore, currently observed objects have to be linked to previous occurrences. Kinematic features, as used in tracking, are of limited use, as uncertainties over longer time intervals are so large that no unique associations can be made. Features extracted from different sensors (e.g., ESM, EO/IR) can be used for both association and classification. Features and classifications are used to associate current objects to previous object descriptions, allowing objects to be described better, and provide position history. In this paper a description of a high level architecture in which such a multi-sensor association is used is described. Results of an assessment of the usability of several features from ESM (from spectrum), EO and IR (shape, contour, keypoints) data for association and classification are shown.

Paper Details

Date Published: 17 May 2012
PDF: 11 pages
Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 83920O (17 May 2012); doi: 10.1117/12.920892
Show Author Affiliations
Sebastiaan P. van den Broek, TNO Defence, Security and Safety (Netherlands)
Piet B. W. Schwering, TNO Defence, Security and Safety (Netherlands)
Kwan D. Liem, TNO Defence, Security and Safety (Netherlands)
Ric Schleijpen, TNO Defence, Security and Safety (Netherlands)


Published in SPIE Proceedings Vol. 8392:
Signal Processing, Sensor Fusion, and Target Recognition XXI
Ivan Kadar, Editor(s)

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