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 • 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 • 13 Sep 2019 • Albert Reed, Isaac Gerg, John McKay, Daniel Brown, David Williams, Suren Jayasuriya
Acquisition of Synthetic Aperture Sonar (SAS) datasets is bottlenecked by the costly deployment of SAS imaging systems, and even when data acquisition is possible, the data is often skewed towards containing barren seafloor rather than objects of interest.