Detection of mines and minelike targets using principal component and neural-Network methods

IEEE Transactions on Neural Networks

Volumn 9, Issue 3, 1998, Pages 454-463

  Miao, Xi ^b   Azimi Sadjadi, Mahmood R ^a,b   Tian, Bin ^b   Dubey, Abinash C ^a,c   Witherspoon, Ned H ^c  

^a IEEE

^b Department of Mechanical Engineering   (United States)

^c NAVAL SURFACE WARFARE CENTER   (United States)

Author keywords

Landmine detection; Neural networks; Pattern recognition; Principal component analysis

Indexed keywords

DECISION THEORY; DIGITAL SIGNAL PROCESSING; IMAGING TECHNIQUES; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; MULTISPECTRAL SCANNERS; PATTERN RECOGNITION; SIGNAL TO NOISE RATIO; STATISTICAL METHODS;

LANDMINE DETECTION; MAXIMUM LIKELIHOOD CLASSIFICATION SCHEME; PRINCIPAL COMPONENT ANALYSIS; RECURSIVE LEAST SQUARE LEARNING RULE;

NEURAL NETWORKS;

EID: 0032073193     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.668887     Document Type: Article

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