Data processing: measuring – calibrating – or testing – Measurement system – Statistical measurement
Reexamination Certificate
2006-12-12
2006-12-12
Bui, Bryan (Department: 2863)
Data processing: measuring, calibrating, or testing
Measurement system
Statistical measurement
Reexamination Certificate
active
07149652
ABSTRACT:
The methods for determining the probability of detection of a thermally camouflaged target at various ranges by the sensor includes determining an “inherent” temperature difference, ΔTRSS, between the target and its immediate surroundings. Once ΔTRSSis determined, a scaled N50cycle criterion, or the number of resolvable cycles needed by the sensor for a fifty percent probability of detection, is determined according to the relationship N50=A/(ΔTRSS)B+C, where A, B and C are constants that are predetermined according to whether the immediate surroundings are of a woodland or a littoral nature. The scaled N50cycle criterion is then used in an empirical Target Transfer Probability Function (TTPF) defined by P=(N/N50)E/(1+(N/N50)E), where E=2.7+0.7(N/N50), in order to determine the probability of detection of the thermally camouflaged target.
REFERENCES:
patent: 5734495 (1998-03-01), Friedman
patent: 6882409 (2005-04-01), Evans et al.
Barbara L. O'Kane, Validation Of Prediction Models For Target Acquisition With Electro-Optical Sensors, Vision Models For Target Detection And Recognition, 1995, 193-218, vol. ll, World Scientific Publishing Co., Singapore.
O'Kane Barbara L.
Page Gary L.
Wilson David L.
Bui Bryan
Romero Andrew
The United States of America as represented by the Secretary of
LandOfFree
Method for modeling detection of camouflaged targets does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method for modeling detection of camouflaged targets, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for modeling detection of camouflaged targets will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3701401