TY - GEN
T1 - SAS Simulations with Procedural Texture and the Point-based Sonar Scattering Model
AU - Johnson, Shawn F.
AU - Brown, Daniel C.
N1 - Funding Information:
ACKNOWLEDGMENT The authors wish to acknowledge the many invaluable discussions and collaborations with DJ Tang and Darrell Jackson at APL-UW concerning seafloor texture. Also, this work has benefited from the many discussions about acoustic models and synthetic aperture sonar with Anthony Lyons (UNH) and Derek Olson (NPS). Finally, thank you to our colleagues at ARL/PSU assisting with the development of PoSSM, namely Cale Brownstead, Brian Reinhardt, Steve Wagner, Norm Foster, and Matt Cotter. This work was supported in part by the US Office of Naval Research, under grant N00014-16-1-3022.
Publisher Copyright:
© 2018 IEEE.
PY - 2019/1/7
Y1 - 2019/1/7
N2 - Recent work has demonstrated the efficacy of Procedural Techniques for simulation of realistic textures emulating rippled-sand and random roughness seafloors, as well as bioturbation by fish feeding pits. Separately, recent work has presented a sonar time series model, which has been shown to agree with theory for the mean, mean square, and spatial coherence of the roughness-scattered acoustic field. In this work, we apply these state of the art environmental generation techniques, inspired by the computer graphics industry, for generation of realistic seafloor textures, combined with the massive parallelization afforded by modern graphics processing units to compute acoustic models, for generation of simulated sonar time series. The resulting time series are then demonstrated to be suitable for coherent synthetic aperture signal processing resulting in a high-fidelity simulated SAS image.
AB - Recent work has demonstrated the efficacy of Procedural Techniques for simulation of realistic textures emulating rippled-sand and random roughness seafloors, as well as bioturbation by fish feeding pits. Separately, recent work has presented a sonar time series model, which has been shown to agree with theory for the mean, mean square, and spatial coherence of the roughness-scattered acoustic field. In this work, we apply these state of the art environmental generation techniques, inspired by the computer graphics industry, for generation of realistic seafloor textures, combined with the massive parallelization afforded by modern graphics processing units to compute acoustic models, for generation of simulated sonar time series. The resulting time series are then demonstrated to be suitable for coherent synthetic aperture signal processing resulting in a high-fidelity simulated SAS image.
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U2 - 10.1109/OCEANS.2018.8604616
DO - 10.1109/OCEANS.2018.8604616
M3 - Conference contribution
AN - SCOPUS:85061794656
T3 - OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018
BT - OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - OCEANS 2018 MTS/IEEE Charleston, OCEANS 2018
Y2 - 22 October 2018 through 25 October 2018
ER -
