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Found 3 papers, 1 papers with code
SINR: Deconvolving Circular SAS Images Using Implicit Neural Representations
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
This work is an important first step towards applying neural networks for SAS image deconvolution.
Coupling Rendering and Generative Adversarial Networks for Artificial SAS Image Generation
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.
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