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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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| Gepubliceerd in: | Sensors (Basel) |
|---|---|
| Hoofdauteurs: | , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI
2017
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5621143/ https://ncbi.nlm.nih.gov/pubmed/28862663 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17092007 |
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