Aircraft classification with a low resolution infrared sensor

Machine Vision and Applications

Volumn 24, Issue 1, 2013, Pages 175-186

  Lefebvre, Sidonie ^a   Allassonnière, Stéphanie ^b   Jakubowicz, Jérémie ^c   Lasne, Thomas ^a   Moulines, Eric ^d  

^a ONERA   (France)

^b CENTRE DE MATHÉMATIQUES APPLIQUÉES   (France)

^c RST   (France)

^d INSTITUT TELECOM   (France)

Author keywords

Aircraft classification; Image processing; Infrared surveillance; Shapes statistics; Stochastic approximation

Indexed keywords

ASPECT ANGLES; BACKGROUND MODEL; CLASSIFICATION PERFORMANCE; COMBAT AIRCRAFT; DEFORMABLE TEMPLATES; DETECTION PERFORMANCE; INFRA-RED SENSOR; INFRARED IMAGES; INFRARED SIGNATURE; INFRARED SURVEILLANCES; INPUT PARAMETER; LOW ALTITUDES; LOW RESOLUTION; MAXIMUM LIKELIHOOD CLASSIFICATIONS; METEOROLOGICAL CONDITION; METHODOLOGICAL APPROACH; QUASI-MONTE CARLO; STATE OF THE ART; STOCHASTIC APPROXIMATIONS; SUPPORT VECTOR CLASSIFIERS;

AIRCRAFT; APPROXIMATION THEORY; ATMOSPHERIC MOVEMENTS; COMPUTER SIMULATION; DISPERSIONS; IMAGE PROCESSING; INFRARED DETECTORS; INFRARED IMAGING; WHITE NOISE;

AIRCRAFT DETECTION;

EID: 84872334424     PISSN: 09328092     EISSN: 14321769     Source Type: Journal    
DOI: 10.1007/s00138-012-0437-1     Document Type: Article

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