In this paper, a novel visualization method for GPR data interpretation and target analysis is proposed for underground target detection and recognition. After preprocessing, the original B-scan image has been transfo...
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ISBN:
(数字)9781665427920
ISBN:
(纸本)9781665427920
In this paper, a novel visualization method for GPR data interpretation and target analysis is proposed for underground target detection and recognition. After preprocessing, the original B-scan image has been transformed into two binary images containing potential targets. Then in the target extraction part, a novel row connection clustering algorithm is applied to separate all possible hyperbolic regions. Finally, a neural network is used to analyze the extracted slices and to estimate the parameters including the material and size of the targets. To illustrate the performance of the proposed method, this paper uses synthetic data generated from gprMax, which demonstrates the exciting accuracy of target detection and recognition.
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