Detection of Complex Formations in an Inland Lake from Sentinel-2 Images Using Atmospheric Corrections and a Fully Connected Deep Neural Network

Detection of Complex Formations in an Inland Lake from Sentinel-2 Images Using Atmospheric Corrections and a Fully Connected Deep Neural Network

The detection of complex formations, initially suspected to be oil spills, is investigated using atmospherically corrected multispectral satellite images and deep learning techniques. Several formations have been detected in an inland lake in Northern Greece. Four atmospheric corrections (ACOLITE, i...

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Bibliographic Details
Main Authors: Damianos F. Mantsis, Anastasia Moumtzidou, Ioannis Lioumbas, Ilias Gialampoukidis, Aikaterini Christodoulou, Alexandros Mentes, Stefanos Vrochidis, Ioannis Kompatsiaris
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Remote Sensing
Subjects:
water body pollution
oil spill
atmospheric correction
deep learning
Online Access:https://www.mdpi.com/2072-4292/16/20/3913

Internet

https://www.mdpi.com/2072-4292/16/20/3913

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