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Found 3 papers, 2 papers with code
Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning Techniques
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 successfully demonstrated recently.
Deep Network for Simultaneous Decomposition and Classification in UWB-SAR Imagery
The classification problem has been firstly, and partially, addressed by sparse representation-based classification (SRC) method which can extract noise from signals and exploit the cross-channel information.
Fast Low-rank Shared Dictionary Learning for Image Classification
Our dictionary learning framework is hence characterized by both a shared dictionary and particular (class-specific) dictionaries.
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