Designing Unmanned Aerial Survey Monitoring Program to Assess Floating Litter Contamination

Designing Unmanned Aerial Survey Monitoring Program to Assess Floating Litter Contamination

Monitoring marine contamination by floating litter can be particularly challenging since debris are continuously moving over a large spatial extent pushed by currents, waves, and winds. Floating litter contamination have mostly relied on opportunistic surveys from vessels, modeling and, more recentl...

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Bibliographic Details
Main Authors: Sílvia Almeida, Marko Radeta, Tomoya Kataoka, João Canning-Clode, Miguel Pessanha Pais, Rúben Freitas, João Gama Monteiro
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
unmanned aircraft systems (UASs)
drones
deep learning (DL)
artificial intelligence (AI)
machine learning (ML)
convolutional neural networks (CNNs)
Online Access:https://www.mdpi.com/2072-4292/15/1/84

Internet

https://www.mdpi.com/2072-4292/15/1/84

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