A Semi-Automated, Hybrid GIS-AI Approach to Seabed Boulder Detection Using High Resolution Multibeam Echosounder

A Semi-Automated, Hybrid GIS-AI Approach to Seabed Boulder Detection Using High Resolution Multibeam Echosounder

The detection of seabed boulders is a critical step in mitigating geological hazards during the planning and construction of offshore wind energy infrastructure, as well as in supporting benthic ecological and palaeoglaciological studies. Traditionally, side-scan sonar (SSS) has been favoured for su...

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Bibliographic Details
Main Authors: Eoin Downing, Luke O’Reilly, Jan Majcher, Evan O’Mahony, Jared Peters
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Series:Remote Sensing
Subjects:
GIS
machine learning (ML)
multibeam echosounder (MBES)
marine remote sensing
geohazard
boulder
Online Access:https://www.mdpi.com/2072-4292/17/15/2711
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