Automatic Detection of Marine Litter: A General Framework to Leverage Synthetic Data

Automatic Detection of Marine Litter: A General Framework to Leverage Synthetic Data

The spatial and temporal coverage of spaceborne optical imaging systems are well suited for automated marine litter monitoring. However, developing machine learning-based detection and identification algorithms requires large amounts of data. Indeed, when it comes to marine debris, ground validated...

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Bibliographic Details
Main Authors: Manon Nagy, Luca Istrate, Matei Simtinică, Sébastien Travadel, Philippe Blanc
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
plastic pollution
machine learning
synthetic data
Sentinel-2
aliasing effects
Online Access:https://www.mdpi.com/2072-4292/14/23/6102

Internet

https://www.mdpi.com/2072-4292/14/23/6102

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