The aim is to propose a method for detecting and characterizing vegetation on the seabed (Posidonia oceanica) using the acoustic response from a conventional single beam echosounder mounted on the hybrid AUV/ROV robotic platform e-URoPe (e-Underwater Robotic Pet) and implementing different machine learning algorithms for the automatic detection of the presence of Posidonia on the seabed.
Innovative procedures with the introduction of artificial intelligence: the identification of Posidonia oceanica
Roberta Ferretti
2020
Abstract
The aim is to propose a method for detecting and characterizing vegetation on the seabed (Posidonia oceanica) using the acoustic response from a conventional single beam echosounder mounted on the hybrid AUV/ROV robotic platform e-URoPe (e-Underwater Robotic Pet) and implementing different machine learning algorithms for the automatic detection of the presence of Posidonia on the seabed.File in questo prodotto:
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Descrizione: Innovative procedures with the introduction of artificial intelligence: the identification of Posidonia oceanica
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