"Clutter Removal in Through-the-Wall Radar Imaging Using Sparse Autoenc" by Fok Hing Chi Tivive and Abdesselam Bouzerdoum
Through-the-wall radar imaging is a sensing technology that can be used by first responders to see through obscure barriers during search-and-rescue missions or deployed by law enforcement and military personnel to maintain situational awareness during tactical operations. However, the strong reflections from the front wall and other obstacles render the detection of stationary targets very difficult. In this article, a learning-based approach is proposed to mitigate the effect of the wall and background clutter. A sparse autoencoder with a low-rank projection is developed to mitigate the wall...
Source: uow.edu.au