High-resolution imaging with uncertain radar measurement data: A doubly regularized compressive sensing experiment design approach

@article{Shkvarko2012HighresolutionIW,
  title={High-resolution imaging with uncertain radar measurement data: A doubly regularized compressive sensing experiment design approach},
  author={Yuriy Shkvarko and Jos{\'e} Tuxpan and Stewart Ren{\'e} Santos Arce and Juan I. Ya{\~n}ez-Vargas},
  journal={2012 IEEE International Geoscience and Remote Sensing Symposium},
  year={2012},
  pages={6967-6970}
}
The descriptive experiment design regularization (DEDR) paradigm is aggregated with the variational analysis approach that combines the ℓ2 image metric with the ℓ1 sparse image gradient map metric structures in the solution space. The proposed ℓ2 - ℓ1 structured total variation DEDR (TV-DEDR) framework is particularly adapted for enhanced imaging with low resolution side looking airborne radar/fractional SAR sensors putting in a single optimization frame adaptive SAR image despeckling and… CONTINUE READING

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