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Found 3 papers, 1 papers with code
Implicit Neural Representations for Deconvolving SAS Images
This work is an important first step towards applying neural networks for SAS image deconvolution.
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.
Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar
However, image formation is typically under-constrained due to a limited number of measurements and bandlimited hardware, which limits the capabilities of existing reconstruction methods.
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