27 April 2000 Using neural networks to interpret subsurface radar imagery of reinforced concrete
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Proceedings Volume 4084, Eighth International Conference on Ground Penetrating Radar; (2000) https://doi.org/10.1117/12.383607
Event: 8th International Conference on Ground Penetrating Radar, 2000, Gold Coast, Australia
Abstract
This paper reports aspects of a study into the use of neural networks to interpret sub-surface radar data collected from surveys of a number of construction components containing targets such as reinforcing bars and underslab voids. The paper details the data collection and alternative synthetic data generation, the pre-processing undertaken to reduce the volume of the inputs to the neural networks, the neural network topologies investigated and presents the results of the network training and testing.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
L. Newnham, L. Newnham, A. Goodier, A. Goodier, } "Using neural networks to interpret subsurface radar imagery of reinforced concrete", Proc. SPIE 4084, Eighth International Conference on Ground Penetrating Radar, (27 April 2000); doi: 10.1117/12.383607; https://doi.org/10.1117/12.383607
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