Deep learning based estimation of wall parameters for through-the-wall imaging
This project explores the use of deep learning algorithms, particularly Convolutional Neural Networks (CNNs), to estimate wall parameters in Through-the-Wall Imaging (TWI). TWI utilizes Ground Penetrating Radar (GPR) to detect objects hidden behind walls, but distinguishing between the target and cl...
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Main Author: | Joseph, Christian |
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Other Authors: | Abdulkadir C. Yucel |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/181594 |
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Institution: | Nanyang Technological University |
Language: | English |
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