Search Results for author:
Found 6 papers, 1 papers with code
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.
Approximate Extraction of Late-Time Returns via Morphological Component Analysis
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.
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.
Enveloped Sinusoid Parseval Frames
This paper presents a method of constructing Parseval frames from any collection of complex envelopes.
Implicit Neural Representations for Deconvolving SAS Images
This work is an important first step towards applying neural networks for SAS image deconvolution.
GPU Acceleration for Synthetic Aperture Sonar Image Reconstruction
Finally, we measure ASASIN's performance on a variety of GPUs and create a model capable of predicting performance.
