Clutter cancellation and sea-ice detection using artificial neural network

Henry Leung; Martin Blanchette; Simon Haykin

doi:10.1117/12.152531

2 September 1993 Clutter cancellation and sea-ice detection using artificial neural network

Henry Leung, Martin Blanchette, Simon Haykin

Proceedings Volume 1965, Applications of Artificial Neural Networks IV; (1993) https://doi.org/10.1117/12.152531
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

Neural processing of microwave sea echo is proposed for the suppression of strong reflections from scatterers on the ocean surface, commonly referred as sea clutter. A radial basis function (RBF) neural network is shown to be effective for this purpose based on real experimental data. In addition, using the RBF neural network as a model for sea clutter, a novel adaptive detection technique is introduced and applied to the problem of detection of growlers (small fragments of icebergs) in sea clutter. The performance of this new detection method is shown to be superior to that of a conventional detector for the real data sets used in this paper.

Citation Download Citation

Henry Leung, Martin Blanchette, and Simon Haykin "Clutter cancellation and sea-ice detection using artificial neural network", Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); https://doi.org/10.1117/12.152531

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