38 citations · 60 across the 15 of their papers we have counts for
4 papers · 1 filter
Generative Adversarial Networks for Recovering Missing Spectral Information
Dung N. Tran, Trac D. Tran, Lam Nguyen
Ultra-wideband (UWB) radar systems nowadays typical operate in the low frequency spectrum to achieve penetration capability. However, this spectrum is also shared by many others co…
Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning Techniques
Tiep Vu, Lam Nguyen, Vishal Monga
Using low-frequency (UHF to L-band) ultra-wideband (UWB) synthetic aperture radar (SAR) technology for detecting buried and obscured targets, e.g. bomb or mine, has been successful…
A new version of the convexification method for a 1-D coefficient inverse problem with experimental data
Michael V. Klibanov, Aleksandr E. Kolesov, Anders Sullivan +1
A new version of the convexification method is developed analytically and tested numerically for a 1-D coefficient inverse problem in the frequency domain. Unlike the previous vers…
Deep Network for Simultaneous Decomposition and Classification in UWB-SAR Imagery
Tiep Vu, Lam Nguyen, Tiantong Guo +1
Classifying buried and obscured targets of interest from other natural and manmade clutter objects in the scene is an important problem for the U.S. Army. Targets of interest are o…