Cycle Criteria for Detection of Camouflaged Targets
Abstract
The interplay between sensors and camouflage has long presented a problem for modeling target acquisition performance of human-in-the-loop thermal sensors. For instance, ACQUIRE, a commonly used target acquisition model, is relatively more sensitive to target size than target contrast. The result is that ACQUIRE generally predicts that low contrast targets will be detected at ranges similar to baseline targets. Thus ACQUIRE has had limited success for camouflage evaluation, since it is known from field studies that lowering contrast has a significant effect on detection range. One ad hoc solution often used to overcome this limitation has involved adjusting the model resolution criterion (ACQUIRE's N(sub 50)) in accordance with available data for the vehicle of interest. However, this method has the disadvantage of requiring a system/sensor combination to be assessed in the field, before modeling, with the attendant costs and time requirements. In addition, since field tests are required, the method lacks predictive value. A re-examination of ACQUIRE revealed a straightforward association between the inherent thermal contrast of a camouflaged target and the appropriate resolution criterion. This new resolution criterion determination method is being used in current analyses. One significant advantage of the approach discussed in this paper is that the historical use of ACQUIRE for standard targets is not changed, but fidelity of ACQUIRE for uses involving camouflage is enhanced.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 2005
- Accession Number
- ADA456742
Entities
People
- Barbara L. O'kane
- David J. Bohan
- David L. Wilson
- Gary L. Page