A Universal Method for Identifying and Correcting Induced Heave Error in Multi-Beam Bathymetric Surveys

Area of Science:

• Geomatics Engineering
• Oceanographic Surveying

Background:

• Multibeam echosounder systems are crucial for bathymetric data acquisition.
• Induced heave error poses a significant challenge to the accuracy of multibeam measurements.
• Existing methods for heave error correction are often intuitive and lack robust identification.

Purpose of the Study:

• To develop a robust two-stage methodology for identifying and correcting induced heave error in multibeam measurements.
• To improve the accuracy and reliability of bathymetric data under complex topographic conditions.

Main Methods:

• A two-stage methodology involving error identification and correction.
• Error discrimination using regression diagnostics to establish a mathematical model between bathymetric discrepancies and attitude parameters.
• Error correction utilizing Partial Least Squares Regression (PLSR) for high-precision prediction and compensation of induced heave error.

Main Results:

• Effective estimation of attitude sensor installation offset parameters.
• Reduction of root mean square bathymetric discrepancies by approximately 78.8%.
• Essential elimination of periodic stripe-shaped distortions and significant improvement in terrain mosaicking quality.

Conclusions:

• The proposed methodology provides an effective solution for controlling induced heave error in multibeam surveys.
• The PLSR-based approach enhances the precision of bathymetric data and overall survey quality.
• This method is particularly beneficial for complex topographic environments.