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Application of deep convolutional neural networks to automatic feature/object detection in high resolution remote sensing imagery
(University of Missouri--Columbia, 2017)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] This thesis investigates how deep learning can be used to automatically detect features and/or objects of interest in high resolution satellite imagery. ...
Detecting explosive hazards in 3D radar imaging through slice based feature extraction and sequential learning
(University of Missouri--Columbia, 2018)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] This thesis provides the history and framework of detecting explosive hazards from three-dimensional radar by extracting features through a slice-based ...