24 July 2000 Robust measure for camouflage effectiveness in the visual domain
Author Affiliations +
Abstract
A human-in-the-loop computer based camouflage assessment approach was already presented at the AeroSense 1998 conference.3 The same image sets were used for human photosimulation as well as for the computer assessment method. The human photosimulation results suggested four camouflage classes which were used to develop and verify the separability measure. Analyzing camouflage effectiveness using separability measures induces a very complex feature space. Best results were obtained using the C4.5 classifier as a separability measure. The size of the objects presented duing the photosimulation sessions and tactical knowledge of the observers had significant influence on the detectoin/recognition performance of humans. The most important advantage of our method is to make camouflage assessment more transparent and deterministic. Results of a selected experiment during a field test are shown in this paper.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Georg S. Ruppert, Reinhard Beichel, Floris M. Gretzmacher, "Robust measure for camouflage effectiveness in the visual domain", Proc. SPIE 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process, (24 July 2000); doi: 10.1117/12.392548; https://doi.org/10.1117/12.392548
PROCEEDINGS
8 PAGES


SHARE
KEYWORDS
Camouflage

Visualization

Distance measurement

Quality measurement

Seaborgium

Digital image processing

Eye

Back to Top