Onboard Anomaly Detection for Marine Environmental Protection

Onboard Anomaly Detection for Marine Environmental Protection

This article describes a comprehensive artificial intelligence pipeline for detecting threatening events in the marine environment, which is intended to be run on-board Earth observation satellites and globally contribute to the preservation of the marine environment. We employed a self-supervised n...

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Bibliographic Details
Main Authors: Thomas Goudemant, Benjamin Francesconi, Michelle Aubrun, Erwann Kervennic, Ingrid Grenet, Yves Bobichon, Marjorie Bellizzi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Anomaly detection
embedded artificial intelligence
frugal learning
marine environmental monitoring
remote sensing
Online Access:https://ieeexplore.ieee.org/document/10480531/

Internet

https://ieeexplore.ieee.org/document/10480531/

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