HyperLISTA-ABT is an ultra-light unfolded network with analytically determined weights and adaptive blockwise thresholding for accurate multi-component differential TomoSAR inversion.
Super-resolution power and robustness of compressive sensing for spectral estimation with application to space- borne tomographic sar,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
eess.SP 2years
2023 2verdicts
UNVERDICTED 2representative citing papers
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.
citing papers explorer
-
HyperLISTA-ABT: An Ultra-light Unfolded Network for Accurate Multi-component Differential Tomographic SAR Inversion
HyperLISTA-ABT is an ultra-light unfolded network with analytically determined weights and adaptive blockwise thresholding for accurate multi-component differential TomoSAR inversion.
-
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.