Aiming at the current problems of low accuracy of ground-penetrating radar image
recognition and difficulty in recognizing small targets, this paper combines YOLOv5 and …

For the current Ground Penetrating Radar (GPR) image recognition problems such as low
accuracy, this paper relies on the architecture of YOLOv5, ConvNeXt as the feature …

Traditional ground penetrating radar image recognition methods have some problems, such
as low recognition accuracy, difficult identification of complex target, cumbersome …

Ground penetrating radar (GPR) is widely used to inspect underground pipelines because it
is non-destructive. When the scan line of GPR is perpendicular to the pipe, it will exhibit …

With the continuous development of unmanned aerial vehicle (UAV) detection technology,
UAV line detection has been well applied in the oil and gas storage and transportation …

Ground penetrating radar (GPR) is extensively employed for subsurface road target
detection, offering benefits such as convenience, nondestructive testing, rapid data …

Urbanization has triggered great development and changes in underground space.
Exploring the types and positions of underground targets is of vital importance to urban …

GPRs (Ground Penetrating Radar) are widely adopted in underground space survey and
mapping, because of their advantages of fast data acquisition, convenience, high imaging …

Ground penetrating radar (GPR) is widely used in the field of intelligent road detection
because of its non-destructive detection method, which is based on an electromagnetic …

Artificial intelligence (AI) is widely used in pattern recognition and positioning. In most of the
geological exploration applications, it needs to locate and identify underground objects …