METHOD FOR MODELING DETECTION OF CAMOUFLAGED TARGETS

Patent №

US 7,149,652

Granted

2006-12-12

Filed 2004

Owner

ARMY, UNITED STATES OF AMERICA AS REPRESENTED BY

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11016861

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 ΔTRSS is determined, a scaled N50 cycle 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 N50 cycle 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.

VisionG06V 10/255H04N 23/20

AI classification

Vision0.73
Evolutionary computation0.06
Knowledge representation0.01
Speech0.01
Natural language0.00
Machine learning0.00
AI hardware0.00
Planning0.00

Ownership

ARMY, UNITED STATES OF AMERICA AS REPRESENTED BY

assignment · 161740297

Assignors

O'KANE, BARBARA L., PAGE, GARY L., WILSON, DAVID L.

On an employer assignment, the assignors are typically the inventors.

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