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GeoAcoustics Content team
Application Note
AI-supported bathymetric data processing in practice
Artificial intelligence is beginning to play a more practical role in hydrographic surveying, helping survey teams process and assess bathymetric data as it is acquired rather than waiting until post-processing.
This application note looks at a trial carried out off Lowestoft, UK, where GeoSwath 4 was used alongside Trimble Applanix CentrePoint RTX corrections to evaluate AI-assisted data processing during a bathymetric survey. The note describes how the AI processing enables a much greater volume of bathymetric soundings to be visualised and quality checked in near real time, giving surveyors more information during acquisition and supporting faster operational decisions. It also examines the role of satellite-based CentrePoint RTX corrections, which provide high-accuracy positioning without the need for a local base station. The application note outlines the survey methodology, the technologies used and the observations from the trial, providing an overview of how AI-assisted processing and precise positioning can be integrated into hydrographic survey workflows.