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Proceedings Paper

Characterization of infrared cloud background clutter
Author(s): Piet B. W. Schwering
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Paper Abstract

Detection of airborne point targets in infrared surveillance is hampered by the presence of cloud clutter. In order to develop tactical decision aids providing the performance of surveillance system in clutter conditions a scheme has been developed to obtain information on cloud clutter in real scenes. The amount of clutter depends on the amount of RMS variations of the intensity in the image within a certain cell size. An image consisting of RMS values in these cells give a first clutter map. To determine clutter for a large number of filter sizes it is necessary to apply the process for different cell sizes. These RMS values are weighed to obtain a single clutter value for a larger scene. In the process sensor noise needs to be separated from real background structure. The scheme has been applied to a number of 10 micrometers IR-18 image sequences for extensive analysis. After fine-tuning it is possible to compare the degree of clutter in different (types of) images. From the IR-18 image sequences several parameters have been determined. The temporal behavior of the images has been analyzed in two-dimensional scatter diagrams.

Paper Details

Date Published: 21 September 1992
PDF: 12 pages
Proc. SPIE 1687, Characterization, Propagation, and Simulation of Sources and Backgrounds II, (21 September 1992); doi: 10.1117/12.137858
Show Author Affiliations
Piet B. W. Schwering, TNO (Netherlands)

Published in SPIE Proceedings Vol. 1687:
Characterization, Propagation, and Simulation of Sources and Backgrounds II
Dieter Clement; Wendell R. Watkins, Editor(s)

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