Novelty Detection Classifiers in Weed Mapping: Silybum marianum Detection on UAV Multispectral Images-Reference-Cited by-同舟云学术

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

Published:2017-09-01 Issue:9 Volume:17 Page:2007
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Alexandridis Thomas,Tamouridou Afroditi Alexandra,Pantazi Xanthoula Eirini,Lagopodi Anastasia,Kashefi Javid,Ovakoglou Georgios,Polychronos Vassilios,Moshou Dimitrios

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

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

Reference29 articles.

1. A Review on Remote Sensing of Weeds in Agriculture

2. Robust hyperspectral vision-based classification for multi-season weed mapping

3. Sensitivity of Support Vector Machines to Random Feature Selection in Classification of Hyperspectral Data

4. Classification of crops and weeds from digital images: A support vector machine approach

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