Paper
12 April 2002 Automatic GPR target detection and clutter reduction using neural network
Author Affiliations +
Proceedings Volume 4758, Ninth International Conference on Ground Penetrating Radar; (2002) https://doi.org/10.1117/12.462229
Event: Ninth International Conference on Ground Penetrating Radar (GPR2002), 2002, Santa Barbara, CA, United States
Abstract
Ground penetrating radar (GPR) has been widely used for the detection and location of buried objects. However, the detection method is often subjected to operator's interpretation due to large quantities of data and undesired clutter and noise. Such a detection method is neither reliable nor efficient.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hyoung-Sun Youn and Chi-Chih Chen "Automatic GPR target detection and clutter reduction using neural network", Proc. SPIE 4758, Ninth International Conference on Ground Penetrating Radar, (12 April 2002); https://doi.org/10.1117/12.462229
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Cited by 18 scholarly publications.
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KEYWORDS
Neural networks

Target detection

General packet radio service

Antennas

Binary data

Signal to noise ratio

Detector development

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