Flying Robots Teach Floating Robots—A Machine Learning Approach for Marine Habitat Mapping Based on Combined Datasets

Flying Robots Teach Floating Robots—A Machine Learning Approach for Marine Habitat Mapping Based on Combined Datasets

Unmanned aerial and autonomous surface vehicles (UAVs and ASVs, respectively) are two emerging technologies for the mapping of coastal and marine environments. Using UAV photogrammetry, the sea-bottom composition can be resolved with very high fidelity in shallow waters. At greater depths, acoustic...

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Bibliographic Details
Main Authors: Zacharias Kapelonis, Georgios Chatzigeorgiou, Manolis Ntoumas, Panos Grigoriou, Manos Pettas, Spyros Michelinakis, Ricardo Correia, Catarina Rasquilha Lemos, Luis Menezes Pinheiro, Caio Lomba, João Fortuna, Rui Loureiro, André Santos, Eva Chatzinikolaou
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Journal of Marine Science and Engineering
Subjects:
mobile platforms
unmanned and autonomous vehicles
multibeam echosounder
marine habitat mapping
aerial mapping
transfer learning
Online Access:https://www.mdpi.com/2077-1312/13/3/611
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