Search Results for author: Albert Reed

Found 3 papers, 1 papers with code

SINR: Deconvolving Circular SAS Images Using Implicit Neural Representations

1 code implementation21 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.

Implicit Neural Representations for Deconvolving SAS Images

no code implementations16 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.

Image Deconvolution

Coupling Rendering and Generative Adversarial Networks for Artificial SAS Image Generation

no code implementations13 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.

Image Generation

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