A Novel Method of Hyperbola Recognition in Ground Penetrating Radar (GPR) B-Scan Image for Tree Roots Detection

Ground Penetrating Radar Method & IDS RIS Structure GPR Systems

GPR (Ground Penetrating Radar) into Real World

GPR (Ground Penetrating Radar) is one of subsurface sensing technologies, which has been used intensively since 1980s. Due to rapid development of both hardware and software, its possibilities have been considerably extended resulting in widening the area of its applications. While such applications as to detection of buried pipes and cables, archaeology and geology are established category, ne...

Buried object detection from B-scan ground penetrating radar data using Faster-RCNN

In this paper, we adapt the Faster-RCNN framework for the detection of underground buried objects (i.e. hyperbola reflections) in B-scan ground penetrating radar (GPR) images. Due to the lack of real data for training, we propose to incorporate more simulated radargrams generated from different configurations using the gprMax toolbox. Our designed CNN is first pre-trained on the grayscale Cifar...

Automated Rebar Detection for Ground-Penetrating Radar

Automated rebar detection in images from groundpenetrating radar (GPR) is a challenging problem and difficult to perform in real-time as a result of relatively low contrast images and the size of the images. This paper presents a rebar localization algorithm, which can accurately locate the pixel locations of rebar within a GPR scan image. The proposed algorithm uses image classification and st...

Use of ground-penetrating radar to study tree roots in the southeastern United States.

The objectives of our study were to assess the feasibility of using ground-penetrating radar (GPR) to study roots over a broad range of soil conditions in the southeastern United States. Study sites were located in the Southern Piedmont, Carolina Sandhills and Atlantic Coast Flatwoods. At each site, we tested for selection of the appropriate antenna (400 MHz versus 1.5 GHz), determined the abil...