An RNN with novel sparse minimal gated units solves BPDN for TomoSAR super-resolution and achieves 10-20% higher double-scatterer detection rates than prior deep unrolling methods.
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Basis Pursuit Denoising via Recurrent Neural Network Applied to Super-resolving SAR Tomography
An RNN with novel sparse minimal gated units solves BPDN for TomoSAR super-resolution and achieves 10-20% higher double-scatterer detection rates than prior deep unrolling methods.