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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Hauptverfasser:	Eoin Downing, Luke O’Reilly, Jan Majcher, Evan O’Mahony, Jared Peters
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-08-01
Schriftenreihe:	Remote Sensing
Schlagworte:	GIS machine learning (ML) multibeam echosounder (MBES) marine remote sensing geohazard boulder
Online-Zugang:	https://www.mdpi.com/2072-4292/17/15/2711
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