16 citations · 21 across the 5 of their papers we have counts for
6 papers
Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar
Albert W. Reed, Juhyeon Kim, Thomas Blanford +3
Synthetic aperture sonar (SAS) measures a scene from multiple views in order to increase the resolution of reconstructed imagery. Image reconstruction methods for SAS coherently co…
Approximate Extraction of Late-Time Returns via Morphological Component Analysis
Geoff Goehle, Benjamin Cowen, Thomas E. Blanford +2
A fundamental challenge in acoustic data processing is to separate a measured time series into relevant phenomenological components. A given measurement is typically assumed to be…
Enveloped Sinusoid Parseval Frames
Geoff Goehle, Benjamin Cowen, J. Daniel Park +1
This paper presents a method of constructing Parseval frames from any collection of complex envelopes. The resulting Enveloped Sinusoid Parseval (ESP) frames can represent a wide v…
SINR: Deconvolving Circular SAS Images Using Implicit Neural Representations
Albert Reed, Thomas Blanford, Daniel C. Brown +1
Circular Synthetic aperture sonars (CSAS) capture multiple observations of a scene to reconstruct high-resolution images. We can characterize resolution by modeling CSAS imaging as…
Implicit Neural Representations for Deconvolving SAS Images
Albert Reed, Thomas Blanford, Daniel C. Brown +1
Synthetic aperture sonar (SAS) image resolution is constrained by waveform bandwidth and array geometry. Specifically, the waveform bandwidth determines a point spread function (PS…
GPU Acceleration for Synthetic Aperture Sonar Image Reconstruction
Isaac D. Gerg, Daniel C. Brown, Stephen G. Wagner +4
Synthetic aperture sonar (SAS) image reconstruction, or beamforming as it is often referred to within the SAS community, comprises a class of computationally intensive algorithms f…