APL‐UW Buried‐object Scanning Sonar (BOSS) Data Processing Framework Overview
This is a User's Guide developed under SERDP project, "Simulation, Signal Extraction, and Augmented Visualization for 3D BOSS Data."
The goal of this code is to allow users to:
- Parse binary data files captured by a buried object scanning sonar into a simple Matlab structure containing raw sonar data, pulse and system information.
- Perform basic operations like pulse compression and real - aperture beamforming to improve the SNR and detect region's of interest in the data.
- Geo - locate detected regions in latitude and longitude, so that different looks of the same target captured by different scans can be compared.
- Perform phase - preserving SAS processing on regions of interest so that the acoustic color spectra can be observed, allowing feature extraction for machine learning and target classification.
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Acoustic Signal Processing,
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3D BOSS Data,
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Synthetic Aperture Sonar (SAS),
Authors
Timothy Marston, Ph.D.
University of Washington Applied Physics Laboratory
Phone: (206) 265-1777
marston@apl.uw.edu

Project
Simulation, Signal Extraction, and Augmented Visualization for 3D BOSS Data
Timothy Marston, Ph.D.
Principal Investigator
University of Washington Applied Physics Laboratory
