Conceptual design of an autonomous rover with ground penetrating radar: application in characterizing soils using deep learning

2020 ◽  
Author(s):  
P. Linna ◽  
T. Aaltonen ◽  
A. Halla ◽  
J. Gronman ◽  
N. Narra
Keyword(s):  
Deep Learning ◽  
Conceptual Design ◽  
Ground Penetrating Radar ◽  
Ground Penetrating

A Ground-penetrating Radar Object Detection Method Based on Deep Learning

2021 ◽  
Author(s):  
Siyu Chen ◽  
Li Wang ◽  
Zheng Fang ◽  
Zhensheng Shi ◽  
Anxue Zhang
Keyword(s):  
Deep Learning ◽  
Object Detection ◽  
Ground Penetrating Radar ◽  
Detection Method ◽  
Ground Penetrating

scholarly journals Exploration of Pipelines from the use of GPR Data by Neural Network

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3711-3715
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Deep Learning ◽  
Ground Penetrating Radar ◽  
Buried Pipes ◽  
Adaptive Neural Networks ◽  
The World ◽  
Systematic Training ◽  
Ground Penetrating

Noticing about the buried pipes is a important issue, In many regions of the world. In spite of the fact that several techniques are there. This literature is used to find out the underground pipes automatically that provides accuracy execution is underway. Which gave amazing results Achieved by the deep learning of the different discoveries found in this article offer a pipeline to detect anti-personnel pipes Adaptive Neural Networks ( applied to the Ground Penetrating Radar (GPR). The proposed algorithm is suitable to recognize if the scanning format has been received. The acquisition of GPR has a track of anti-personnel pipes. The validity of the said system is made on a real GPR receipt, although systematic training can be done to have relied upon data generated by achievements. Based on the results 95% of the accuracy of detection got achieved without testing acquisition of pipes.

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