Estimating parameters of the tree root in heterogeneous soil environments via mask-guided multi-polarimetric integration neural network

Estimating parameters of the tree root in heterogeneous soil environments via mask-guided multi-polarimetric integration neural network

Ground-penetrating radar (GPR) has been used as a non-destructive tool for tree root inspection. Estimating root-related parameters from GPR radargrams greatly facilitates root health monitoring and imaging. However, the task of estimating root-related parameters is challenging as the root reflec...

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Bibliographic Details
Main Authors: Sun, Hai-Han, Lee, Yee Hui, Dai, Qiqi, Li, Chongyi, Ow, Genevieve, Mohamed Lokman Mohd Yusof, Yucel, Abdulkadir C.
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering
Engineering::Electrical and electronic engineering
Deep Learning
Ground-Penetrating Radar
Online Access:https://hdl.handle.net/10356/162648

Internet

https://hdl.handle.net/10356/162648

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