Tree radar image acquisition and processing
Tree falling accidents are common and could bring danger to properties and human lives in urban areas. To avoid such tragedies, regular health monitoring of living tree trunks is necessary. There are lots of non-destructive techniques for tree trunk imaging including microwave tomography, ground pen...
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2023
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sg-ntu-dr.10356-1671282023-07-07T17:47:05Z Tree radar image acquisition and processing Lim, Linson Ze En Abdulkadir C. Yucel School of Electrical and Electronic Engineering NParks Centre for Information Sciences & System (CISS) acyucel@ntu.edu.sg Engineering::Electrical and electronic engineering Tree falling accidents are common and could bring danger to properties and human lives in urban areas. To avoid such tragedies, regular health monitoring of living tree trunks is necessary. There are lots of non-destructive techniques for tree trunk imaging including microwave tomography, ground penetrating radar (GPR), electrical resistivity imaging, and so on. Among them, GPR has been used widely for its wide bandwidth, easy to use, and higher imaging resolution. However, scientists encountered difficulties in coupling the antenna to the surface of the bark as well as the interpretation of complex data, countless aspects such as the size of the trunk, different species of trees, and moisture gradients made interpretation trickier. In this research paper, the processed measurement results via Matlab which I collected weekly using the antenna system will be shown in the next few chapters. The two main measurements conducted are detecting the trunk with cavity and control tests with and without wet tissue inside the cavity. The relative dielectric constant is also calculated to determine the moisture content in the tree trunk samples and to predict the overall health of the trees. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-23T02:33:43Z 2023-05-23T02:33:43Z 2023 Final Year Project (FYP) Lim, L. Z. E. (2023). Tree radar image acquisition and processing. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167128 https://hdl.handle.net/10356/167128 en B3033-221 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Lim, Linson Ze En Tree radar image acquisition and processing |
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Tree falling accidents are common and could bring danger to properties and human lives in urban areas. To avoid such tragedies, regular health monitoring of living tree trunks is necessary. There are lots of non-destructive techniques for tree trunk imaging including microwave tomography, ground penetrating radar (GPR), electrical resistivity imaging, and so on. Among them, GPR has been used widely for its wide bandwidth, easy to use, and higher imaging resolution. However, scientists encountered difficulties in coupling the antenna to the surface of the bark as well as the interpretation of complex data, countless aspects such as the size of the trunk, different species of trees, and moisture gradients made interpretation trickier. In this research paper, the processed measurement results via Matlab which I collected weekly using the antenna system will be shown in the next few chapters. The two main measurements conducted are detecting the trunk with cavity and control tests with and without wet tissue inside the cavity. The relative dielectric constant is also calculated to determine the moisture content in the tree trunk samples and to predict the overall health of the trees. |
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Abdulkadir C. Yucel |
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Abdulkadir C. Yucel Lim, Linson Ze En |
format |
Final Year Project |
author |
Lim, Linson Ze En |
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Lim, Linson Ze En |
title |
Tree radar image acquisition and processing |
title_short |
Tree radar image acquisition and processing |
title_full |
Tree radar image acquisition and processing |
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Tree radar image acquisition and processing |
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Tree radar image acquisition and processing |
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tree radar image acquisition and processing |
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Nanyang Technological University |
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2023 |
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https://hdl.handle.net/10356/167128 |
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