no code implementations • 11 Aug 2022 • Geoff Goehle, Benjamin Cowen, Thomas E. Blanford, J. Daniel Park, Daniel C. Brown
Under the framework of Morphological Component Analysis (MCA), we compare two separation models using the short-duration and long-duration responses as a proxy for early-time and late-time returns.
1 code implementation • 21 Apr 2022 • Albert Reed, Thomas Blanford, Daniel C. Brown, Suren Jayasuriya
In theory, deconvolution overcomes bandwidth limitations by reversing the PSF-induced blur and recovering the scene's scattering distribution.
no code implementations • 18 Apr 2022 • Geoff Goehle, Benjamin Cowen, J. Daniel Park, Daniel C. Brown
This paper presents a method of constructing Parseval frames from any collection of complex envelopes.
no code implementations • 16 Dec 2021 • Albert Reed, Thomas Blanford, Daniel C. Brown, Suren Jayasuriya
This work is an important first step towards applying neural networks for SAS image deconvolution.
no code implementations • 14 Jan 2021 • Isaac D. Gerg, Daniel C. Brown, Stephen G. Wagner, Daniel Cook, Brian N. O'Donnell, Thomas Benson, Thomas C. Montgomery
Finally, we measure ASASIN's performance on a variety of GPUs and create a model capable of predicting performance.