Open AccessEvaluation of synthetic training data and training-data-augmentation techniques for object detection in ground-penetrating radar data using deep-learning models
Author(s) -
Jean Ruggiero
Publication year - 2021
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17760/d20416554
Subject(s) - ground penetrating radar , artificial intelligence , computer science , deep learning , synthetic data , object detection , artificial neural network , test data , data set , machine learning , radar , data modeling , training (meteorology) , computer vision , pattern recognition (psychology) , database , geography , telecommunications , programming language , meteorology
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