Targeting Plastics: Machine Learning Applied to Litter Detection in Aerial Multispectral Images

Targeting Plastics: Machine Learning Applied to Litter Detection in Aerial Multispectral Images

The occurrence of litter in natural areas is nowadays one of the major environmental challenges. The uncontrolled dumping of solid waste in nature not only threatens wildlife on land and in water, but also constitutes a serious threat to human health. The detection and monitoring of areas affected b...

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Bibliographic Details
Main Authors: Marian-Daniel Iordache, Liesbeth De Keukelaere, Robrecht Moelans, Lisa Landuyt, Mehrdad Moshtaghi, Paolo Corradi, Els Knaeps
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
litter detection
plastic pollution
multispectral data
remotely piloted aircraft systems
machine learning
multiclass classification
Online Access:https://www.mdpi.com/2072-4292/14/22/5820

Internet

https://www.mdpi.com/2072-4292/14/22/5820

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