Deep learning for tree trunk imaging via tree radar
The wood business and determining the health of living trees both benefit from tree trunk examinations. Non-destructive testing (NDT) approaches for diagnosing areas in living trees are becoming increasingly common. Ground Penetrating Radar (GPR) is widely recognized as a particularly effective inst...
Main Author: | Wong, Amari Jun Hao |
---|---|
Other Authors: | Abdulkadir C. Yucel |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/158218 |
Similar Items
-
Radar system for the study of tree trunks
by: Ng, Ronald Tze Hao
Published: (2020) -
Tree defect detection via radar measurements
by: Tan, Jun Wei
Published: (2022) -
Radar range profile simulation of isolated trees with radiative transfer theory
by: Gung, Tza-Jing
Published: (2007) -
Deep learning for ground penetrating radar image processing
by: Koh, Leonard Deng Liang
Published: (2021) -
Learning with mistures of trees
by: Meilă-Predoviciu, Marina, 1962-
Published: (2013)