Characterization of inclusions in a nonhomogeneous GPR problem by artificial neural networks

IEEE Transactions on Magnetics

Volumn 44, Issue 6, 2008, Pages 1630-1633

  Travassos Jr , X Lucas ^b   Vieira, D A G ^c   Ida, Nathan ^a,d   Vollaire, Christian ^e   Nicolas, Alain ^e  

^a IEEE

^b SENAI CIMATEC   (Brazil)

^c FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^d The University of Akron   (United States)

^e ECOLE CENTRALE DE LYON   (France)

Author keywords

Artificial neural network (ANN); Buried objects; Ground penetrating radar (GPR); Inverse problem

Indexed keywords

BURIED OBJECTS; GROUND-PENETRATING RADAR (GPR);

CONCRETE CONSTRUCTION; ERROR CORRECTION; INVERSE PROBLEMS; RADAR IMAGING;

NEURAL NETWORKS;

EID: 44049086696     PISSN: 00189464     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMAG.2007.915332     Document Type: Article

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