Classifying Multichannel UWB SAR Imagery via Tensor Sparsity Learning Techniques
Classifying Multichannel UWB SAR Imagery via Tensor Sparsity Learning Techniques
Using low-frequency (UHF to L-band) ultrawideband synthetic aperture radar (SAR) technology for detecting buried and obscured targets, e.g., bomb or mine, has been successfully demonstrated recently. Despite promising recent progress, a significant open challenge is to distinguish obscured targets from other (natural and manmade) clutter sources in the scene. The …