Novelty Detection Classifiers in Weed Mapping: Silybum marianum Detection on UAV Multispectral Images

Novelty Detection Classifiers in Weed Mapping: Silybum marianum Detection on UAV Multispectral Images

In the present study, the detection and mapping of Silybum marianum (L.) Gaertn. weed using novelty detection classifiers is reported. A multispectral camera (green-red-NIR) on board a fixed wing unmanned aerial vehicle (UAV) was employed for obtaining high-resolution images. Four novelty detection...

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Bibliographic Details
Main Authors: Thomas K. Alexandridis, Afroditi Alexandra Tamouridou, Xanthoula Eirini Pantazi, Anastasia L. Lagopodi, Javid Kashefi, Georgios Ovakoglou, Vassilios Polychronos, Dimitrios Moshou
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Sensors
Subjects:
weeds
UAS
RPAS
one-class
machine learning
remote sensing
geoinformatics
Online Access:https://www.mdpi.com/1424-8220/17/9/2007

Internet

https://www.mdpi.com/1424-8220/17/9/2007

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