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Proceedings Paper

Comparison of probability statistics for automated ship detection in SAR imagery
Author(s): Michael D. Henschel; Maria T. Rey; J. W. M. Campbell; D. Petrovic
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Paper Abstract

This paper discuses the initial results of a recent operational trial of the Ocean Monitoring Workstation's (OMW) ship detection algorithm which is essentially a Constant False Alarm Rate filter applied to Synthetic Aperture Radar data. The choice of probability distribution and methodologies for calculating scene specific statistics are discussed in some detail. An empirical basis for the choice of probability distribution used is discussed. We compare the results using a l-look, k-distribution function with various parameter choices and methods of estimation. As a special case of sea clutter statistics the application of a (chi) 2-distribution is also discussed. Comparisons are made with reference to RADARSAT data collected during the Maritime Command Operation Training exercise conducted in Atlantic Canadian Waters in June 1998. Reference is also made to previously collected statistics. The OMW is a commercial software suite that provides modules for automated vessel detection, oil spill monitoring, and environmental monitoring. This work has been undertaken to fine tune the OMW algorithm's, with special emphasis on the false alarm rate of each algorithm.

Paper Details

Date Published: 4 December 1998
PDF: 6 pages
Proc. SPIE 3491, 1998 International Conference on Applications of Photonic Technology III: Closing the Gap between Theory, Development, and Applications, (4 December 1998); doi: 10.1117/12.328668
Show Author Affiliations
Michael D. Henschel, Satlantic Inc. (Canada)
Maria T. Rey, Defence Research Establishment Ottawa (Canada)
J. W. M. Campbell, Defence Research Establishment Ottawa (Canada)
D. Petrovic, Satlantic Inc. (Canada)


Published in SPIE Proceedings Vol. 3491:
1998 International Conference on Applications of Photonic Technology III: Closing the Gap between Theory, Development, and Applications
George A. Lampropoulos; Roger A. Lessard, Editor(s)

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