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Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar
DescriptionSynthetic aperture sonar (SAS) is used for high-resolution acoustic imaging, typically of underwater environments. Hardware and measurement limitations pose challenges for image reconstruction. We design an analysis-by-synthesis optimization using neural fields and a differentiable acoustic model for coherent scene reconstructions. We validate our method on air and water SAS data.
Event Type
Technical Paper
TimeWednesday, 9 August 20233:45pm - 3:56pm PDT
LocationPetree Hall C
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
Rendering
Video
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