Paper
21 September 1992 Characterization of natural background clutter for design of camouflage
Grayson W. Walker, James R. McManamey
Author Affiliations +
Abstract
Camouflage design and evaluation requires that the developer assess the detectability of a camouflaged target in a natural, cluttered environment. Traditional techniques have involved panels of observers, but modern camoufleurs are seeking a satisfactory means of making reasonable estimates by the use of computer modeling. However, no adequate target detection model exists at this time. Camouflage experts at Belvoir Research, Development, and Engineering Center (BRDEC) are seeking means of improving the best of the current target detection models to make it capable of serving their needs. This is an interest which they share with many others within the Army who find that the best available model is unable to cope with low-observable targets. Unmodeled effects are responsible for the shortcomings. Current work at BRDEC and other organizations within the Army is examining such diverse methods as the use of fractals, edge evaluation, gray level cooccurrence matrices, power spectral analysis, and correlation lengths.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Grayson W. Walker and James R. McManamey "Characterization of natural background clutter for design of camouflage", Proc. SPIE 1687, Characterization, Propagation, and Simulation of Sources and Backgrounds II, (21 September 1992); https://doi.org/10.1117/12.137854
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Cited by 2 scholarly publications.
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KEYWORDS
Target detection

Camouflage

Computer simulations

Systems modeling

Fractal analysis

Matrices

Detection and tracking algorithms

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