Deep learning based estimation of wall parameters for through-the-wall imaging

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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Bibliographic Details
Main Author: Joseph, Christian
Other Authors: Abdulkadir C. Yucel
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Engineering
Online Access:https://hdl.handle.net/10356/181594

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