Waterfall Solutions : Publication Abstract

Sorry for the mess

If you can see this text, it is likely that your browser is not honouring the Cascading Style Sheet (CSS) information upon which this site depends. As a result, the website probably looks very ugly indeed!

It may be possible to improve things by turning off the styling information altogether. To try this approach, click the button below and we will attempt to set a cookie that disables the CSS styling.

If this does not work, try scrolling down this page to the 'Change Style' section. Choose 'No Style' from the list and click on the 'Change Style' button.

Title:

A statistical sea surface clutter model in the long-wave infra-red

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.

Download:

Adobe Acrobat document, 832K

If you have problems viewing the PDF document, you may need to update Acrobat Reader to a more recent version. Click on the image below to visit the Adobe download site.

Authors:

M. Bernhardt, Waterfall Solutions, UK;
M. I. Smith, Waterfall Solutions, UK;
P. Whitehead, AMS, UK;
L. N. Lunt, AMS, UK;
D. Hickman, AMS, UK;
C. Dent, AMS, UK;

Conferences:

AeroSense 2004 Conference OR42 : Targets and Backgrounds X: Characterization and Representation,