3 papers
cs.CV2018
Signal Classification under structure sparsity constraints
Tiep Huu Vu
Object Classification is a key direction of research in signal and image processing, computer vision and artificial intelligence. The goal is to come up with algorithms that automa…
eess.SP2018
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…
eess.IV2018
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…