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ATR-based camouflage effectiveness evaluation of MUSTAFA targets

: Müller, Markus; Heinze, Norbert; Clement, Dieter

Watkins, W.R. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Targets and backgrounds IX. Characterization and representation : Orlando, Florida, 21-22 April 2003. Conference organized within SPIE's 17th International Symposium on Aerosense
Bellingham, Wash.: SPIE, 2003 (SPIE Proceedings Series 5075)
ISBN: 0-8194-4934-2
Conference on Targets and Backgrounds <9, 2003, Orlando/Fla.>
Aerosense Symposium <2003, Orlando/Fla.>
Conference Paper
Fraunhofer IITB ( IOSB) ()

An international multisensor measurement campaign called "MUSTAFA" yielded many infrared image sequences of differently camouflaged targets. The image sequences were acquired by a helicopter sensor platform approaching the targets. The effectiveness of the various camouflage methods still has to be evaluated. Apart from observer experiments, FGAN/FOM and IITB pursue an ATR (Automatic Target Recognition) -based method for the automatic evaluation of the camouflage variants. The ATR approach consists basically of the detection component of an ATR for reconnaissance purposes in forward-looking infrared image sequences (FLIR). Given some flight and sensor parameters the algorithm can report detection hypothesizes together with a measure of confidence and the detection range for each hypothesis. Proceeding on the assumption that better camouflage yields late automatic detection of the corresponding target in approaching image sequences, the detection range output of the algorithm could be an additional criteria for camouflage evaluation. The paper presents some aspects of the reconnaissance detection algorithm, detection ranges for exemplary image sequences of the MUSTAFA data set, and future options: e.g. real-time operation in the sensor platform during the measurement campaign.