Radar shadow and superresolution features for automatic recognition of MSTAR targets

IEEE National Radar Conference - Proceedings

Volumn 2005-January, Issue January, 2005, Pages 534-539

  Cui, Jingjing ^a   Gudnason, Jon ^a   Brookes, Mike ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Feature Extraction; Hidden Markov Model; High Range Resolution; Moving and Stationary Target Acquisition and Recognition (MSTAR); Multiple Signal Classification; Synthetic Aperture Radar; Target Recognition

Indexed keywords

AUTOMATIC TARGET RECOGNITION; CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; HIDDEN MARKOV MODELS; MARKOV PROCESSES; OPTICAL RESOLVING POWER; RADAR; SPECTRUM ANALYSIS; SYNTHETIC APERTURE RADAR; WAVELET ANALYSIS;

AUTOMATIC RECOGNITION; CLASSIFICATION ERROR RATE; HIGH RANGE RESOLUTION; HIGH-RANGE RESOLUTION RADAR; MULTIPLE SIGNAL CLASSIFICATION; SPECTRAL ESTIMATION METHODS; STATIONARY TARGETS; TARGET RECOGNITION;

RADAR TARGET RECOGNITION;

EID: 37149005245     PISSN: 10975659     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RADAR.2005.1435884     Document Type: Conference Paper

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