Training Data Augmentations for Improving Hyperbola Recognition in Ground Penetrating Radar B-Scan Image for Tree Roots Detection

Training Data Augmentations for Improving Hyperbola Recognition in Ground Penetrating Radar B-Scan Image for Tree Roots Detection

Improving the detection accuracy of hyperbola in B-scan images has been a considerable challenge for ground penetrating radar (GPR) to detect tree roots. In this paper, a method for data enhancement and target detection, both based on deep learning was proposed to identify hyperbolas in GPR B-scan i...

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Bibliographic Details
Main Authors: Zeqing Li, Xiaowei Zhang, Haibin Li, Zepeng Wang, Jian Wen
Format: Article
Language:English
Published: North Carolina State University 2022-11-01
Series:BioResources
Subjects:
ground-penetrating radar (gpr)
data enhancement
yolov5
cycle-consistent adversarial networks (cyclegan)
tree root detection
Online Access:https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22232

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