Mississippi State University
John E. Ball
Date of Degree
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Complete embargo for 1 year
Graduate Thesis - Open Access
Electrical and Computer Engineering
Master of Science
James Worth Bagley College of Engineering
Department of Electrical and Computer Engineering
Humans perceive the world in three dimensions, but many sensing capabilities only display two-dimensional information to users by way of images. In this work we develop two novel reconstruction techniques utilizing synthetic aperture radar (SAR) data in three dimensions given sparse amounts of available data. We additionally leverage a hybrid joint-sparsity and sparsity approach to remove a-priori influences on the environment and instead explore general imaging properties in our reconstructions. We evaluate the required sampling rates for our techniques and a thorough analysis of the accuracy of our methods. The results presented in this thesis suggest a solution to sparse three-dimensional object reconstruction that effectively uses a substantially less amount of phase history data (PHD) while still extracting critical features off an object of interest.
Air Force Research Laboratory (through Autonomy Technology Research Center), ERDC
Jamora, Jan Rainer, "Angular-dependent three-dimensional imaging techniques in multi-pass synthetic aperture radar" (2021). Theses and Dissertations. 5220.
Available for download on Monday, August 15, 2022