Aircraft classification with a low resolution infrared sensor

IEEE Workshop on Statistical Signal Processing Proceedings

Volumn , Issue , 2011, Pages 761-764

  Maire, F ^a   Lefebvre, S ^a   Moulines, E ^b,c   Douc, R ^b,c  

^a Office National d'Etudes et de Recherches Aerospatiales   (France)

^b INSTITUT TELECOM   (France)

^c NONE   (France)

Author keywords

aircraft classification; image processing; infrared surveillance; shapes statistics; stochastic approximation

Indexed keywords

ASPECT ANGLES; BACKGROUND MODEL; CLASSIFICATION PERFORMANCE; DEFORMABLE TEMPLATES; DETECTION PERFORMANCE; INFRA-RED SENSOR; INFRARED IMAGES; INFRARED SIGNATURE; INPUT DATAS; LOW RESOLUTION; MAXIMUM LIKELIHOOD CLASSIFICATIONS; METEOROLOGICAL CONDITION; METHODOLOGICAL APPROACH; SHAPES STATISTICS; STOCHASTIC APPROXIMATIONS;

AIRCRAFT; APPROXIMATION THEORY; ATMOSPHERIC MOVEMENTS; COMPUTER SIMULATION; IMAGE PROCESSING; IMAGING SYSTEMS; INFRARED DETECTORS; INFRARED IMAGING; MAXIMUM LIKELIHOOD ESTIMATION; SENSORS; WHITE NOISE;

AIRCRAFT DETECTION;

EID: 80052237983     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSP.2011.5967815     Document Type: Conference Paper

References (4)

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2. S. Allassonnièere, E. Kuhn, and A. Trouvé, "Construction of bayesian deformable models via a stochastic approximation algorithm: A convergence study.," Bernoulli, vol. 16, pp. 641-678, 2010.
3. O. Cappé and E. Moulines, "Online EM algorithm for latent data models," 2008.
4. S. Lefebvre, S. Allassonnièere, J. Jakubowicz, T. Lasne, and E. Moulines, "Aircraft classification with a low resolution infrared sensor.," Submitted for publication., 2010.