A Citizen Science Unmanned Aerial System Data Acquisition Protocol and Deep Learning Techniques for the Automatic Detection and Mapping of Marine Litter Concentrations in the Coastal Zone

A Citizen Science Unmanned Aerial System Data Acquisition Protocol and Deep Learning Techniques for the Automatic Detection and Mapping of Marine Litter Concentrations in the Coastal Zone

Marine litter (ML) accumulation in the coastal zone has been recognized as a major problem in our time, as it can dramatically affect the environment, marine ecosystems, and coastal communities. Existing monitoring methods fail to respond to the spatiotemporal changes and dynamics of ML concentratio...

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Bibliographic Details
Main Authors: Apostolos Papakonstantinou, Marios Batsaris, Spyros Spondylidis, Konstantinos Topouzelis
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Drones
Subjects:
unmanned aerial systems
marine litter
deep learning
convolutional neural networks
computer vision
marine litter detection
Online Access:https://www.mdpi.com/2504-446X/5/1/6

Internet

https://www.mdpi.com/2504-446X/5/1/6

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