Automatic detection of buried utilities and solid objects with GPR using neural networks and pattern recognition

Journal of Applied Geophysics

Volumn 43, Issue 2-4, 2000, Pages 157-165

  Al Nuaimy, W ^a   Huang, Y ^a   Nakhkash, M ^a   Fang, M T C ^a   Nguyen, V T ^b   Eriksen, A ^c  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

^b Shell Technology Centre   (United Kingdom)

^c Geo Services International (UK)   (United Kingdom)

Author keywords

Ground penetrating radar; Hough transform; Neural networks; Pattern recognition

Indexed keywords

BACKPROPAGATION; COMPUTATIONAL METHODS; HOUGH TRANSFORMS; IMAGE RECONSTRUCTION; NEURAL NETWORKS; OBJECT RECOGNITION; RADAR IMAGING; RADAR REFLECTION; RADAR SYSTEMS;

BURIED SOLID OBJECTS DETECTION; BURIED UTILITIES DETECTION; GROUND PENETRATING RADAR; ON SITE IMAGING; WELCH POWER SPECTRAL DENSITY;

RADAR TARGET RECOGNITION;

ARTIFICIAL NEURAL NETWORK; AUTOMATION; BURIED TARGET; GROUND PENETRATING RADAR; PATTERN RECOGNITION; SITE INVESTIGATION;

EID: 0034162355     PISSN: 09269851     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0926-9851(99)00055-5     Document Type: Conference Paper

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