Neural networks trained by scattered electromagnetic data for GPR applications

Proceedings of the 2nd International Workshop on Advanced Ground Penetrating Radar

Volumn , Issue , 2003, Pages 228-233

  Caorsi, S ^a   Cevini, G ^a  

^a UNIVERSITY OF PAVIA   (Italy)

Author keywords

Buried object detection; Data mining; Dielectrics; Electromagnetic fields; Electromagnetic scattering; Electromagnetic transients; Ground penetrating radar; Inverse problems; Neural networks; Time domain analysis

Indexed keywords

DATA MINING; DIELECTRIC MATERIALS; DIELECTRIC PROPERTIES; ELECTROMAGNETIC FIELDS; GEOLOGICAL SURVEYS; INVERSE PROBLEMS; NEURAL NETWORKS; OBJECT DETECTION; PERMITTIVITY; RADAR; TIME DOMAIN ANALYSIS; TRANSIENTS;

BURIED-OBJECT DETECTION; ELECTRO-MAGNETIC TRANSIENT; ELECTROMAGNETIC SCATTERING; ELECTROMAGNETIC SIGNATURES; GROUND PENETRATING RADAR; INVERSE SCATTERING PROBLEMS; RELATIVE DIELECTRIC PERMITTIVITY; SCATTERED ELECTROMAGNETIC FIELDS;

GROUND PENETRATING RADAR SYSTEMS;

EID: 4043131801     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AGPR.2003.1207324     Document Type: Conference Paper

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