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Proceedings Paper

Minimum description length principle applied to camouflage assessment
Author(s): Georg S. Ruppert; Andreas Wimmer; Horst Bischof; Floris M. Gretzmacher; Guenter Wendner
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Paper Abstract

A robust computer based camouflage assessment approach was presented at the AeroSense 2000 conference. Based on experiments with human observers a separability measure was developed. The method was classifier based and best results could be obtained using the C4.5 classifier as a separability measure. Using this method makes camouflage assessment transparent and deterministic presuming correctly specified regions of interest. This paper describes our effort to overcome the drawback of the need of user input at such a critical step within the method. We used unsupervised learning along with an optimizing method to derive information about the number of clusters and other performance measurements. All these measurements coming from the optimization step were adopted to camouflage assessment.

Paper Details

Date Published: 18 September 2001
PDF: 10 pages
Proc. SPIE 4370, Targets and Backgrounds VII: Characterization and Representation, (18 September 2001); doi: 10.1117/12.440093
Show Author Affiliations
Georg S. Ruppert, Doors to Knowledge (Austria)
Andreas Wimmer, Joanneum Research (Austria)
Horst Bischof, Technische Univ. Wien (Austria)
Floris M. Gretzmacher, Austrian Ministry of Defense (Austria)
Guenter Wendner, Austrian Ministry of Defense (Austria)


Published in SPIE Proceedings Vol. 4370:
Targets and Backgrounds VII: Characterization and Representation
Wendell R. Watkins; Dieter Clement; William R. Reynolds, Editor(s)

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