School of Engineering (ENG)
Techniques for clutter reduction for GPR images
Ground Penetrating Radar Images do not only consist of target components, but also of unwanted information due to reflections of other object, antenna coupling, and strong reflections from the ground surface. These components, usually known as clutter, can make it very difficult to identify relevant target information.
This project focuses on clutter removal techniques that are based on statistical principles such as the Principle Component Analysis (PCA) and the Independent Component Analysis (ICA).
Click here to view the project poster.