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Proceedings Paper

A statistical sea-surface clutter model in the long-wave infrared
Author(s): Mark Bernhardt; Moira I. Smith; Philip G. Whitehead; L. N. Hunt; Duncan L. Hickman; Christopher Dent II
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Paper Abstract

Simple statistical models for clutter are desirable for parametric modelling of sensors and the development of constant false alarm rate detection processing. In the case of radar sensors and sea clutter there are a few widely known and accepted 'standard' models that can be employed. For passive infra-red sensors there are fewer models and no such widely accepted model applicable to sea clutter. In this paper a statistical model for the behaviour of sea clutter in the long-wave infra-red is presented. The model is based upon many of the same assumptions that lead, in the case of radar, to the well-known and widely used K-distribution model. It is compared with real long-wave infra-red sea clutter data gathered in trials from a variety of locations.

Paper Details

Date Published: 5 August 2004
PDF: 9 pages
Proc. SPIE 5431, Targets and Backgrounds X: Characterization and Representation, (5 August 2004); doi: 10.1117/12.541523
Show Author Affiliations
Mark Bernhardt, Waterfall Solutions Ltd. (United Kingdom)
Moira I. Smith, Waterfall Solutions Ltd. (United Kingdom)
Philip G. Whitehead, Alenia Marconi Systems Ltd. (United Kingdom)
L. N. Hunt, Alenia Marconi Systems Ltd. (United Kingdom)
Duncan L. Hickman, Alenia Marconi Systems Ltd. (United Kingdom)
Christopher Dent II, Alenia Marconi Systems Ltd. (United Kingdom)

Published in SPIE Proceedings Vol. 5431:
Targets and Backgrounds X: Characterization and Representation
Wendell R. Watkins; Dieter Clement; William R. Reynolds, Editor(s)

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