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cs.CV2022
Synthetic Sonar Image Simulation with Various Seabed Conditions for Automatic Target Recognition
Jaejeong Shin, Shi Chang, Matthew Bays +3
We propose a novel method to generate underwater object imagery that is acoustically compliant with that generated by side-scan sonar using the Unreal Engine. We describe the proce…
cs.CV2022
Time and Cost-Efficient Bathymetric Mapping System using Sparse Point Cloud Generation and Automatic Object Detection
Andres Pulido, Ruoyao Qin, Antonio Diaz +3
Generating 3D point cloud (PC) data from noisy sonar measurements is a problem that has potential applications for bathymetry mapping, artificial object inspection, mapping of aqua…