Shallow Water Object Detection, Classification, and Localization via Phase-Measured, Bathymetry-Mode Backscatter

Detection, classification, and localization (DCL) techniques are being developed around the use of a phase-measuring sidescan sonar (PMSS) in very shallow waters. The instrument simultaneously collects co-located imagery bathymetry extreme water environments (<1 m depth). In addition to bathymetry, an uncalibrated backscatter data set, referred this study as phase-measured, bathymetry-mode (BMB), is also collected. This BMB has been minimally addressed literature. work aims detect differentiate between various objects on seafloor, including unexploded ordnance (UXO), placed marine debris, or ‘clutter’, such lobster pots, boat propellers, car tires. differentiation from multiple seafloor types mud, sand, gravel different occurred through statistical analysis methods binomial multinomial logistic regression. These have applied create regression models for several variables amplitude, sounding distance nadir, per-ping vessel roll, orientation offset heading object orientation, all combinations these variables. tests produced maximum likelihood odds ratios individual soundings associated with types. Results analyses shows that DCL could be possible PMSS system, though results may not representative bed systems.