Deep Learning for Passive Synthetic Aperture Radar

12 Aug 2017 Bariscan Yonel Eric Mason Birsen Yazıcı

We introduce a deep learning (DL) framework for inverse problems in imaging, and demonstrate the advantages and applicability of this approach in passive synthetic aperture radar (SAR) image reconstruction. We interpret image recon- struction as a machine learning task and utilize deep networks as forward and inverse solvers for imaging... (read more)

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