Integration of weighted majority voting in machine learning algorithms to enhance pine tree crown mapping on UAV imagery

The shape and area of the crown of each tree are among the most influential parameters for identifying and controlling the processes of photosynthesis, respiration, transpiration and its management. In such a way that various physiographic functions, such as carbon dioxide absorption, light energy a...

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Veröffentlicht in:	ISPRS annals of the photogrammetry, remote sensing and spatial information sciences Jg. X-3-2024; S. 187 - 192
Hauptverfasser:	Hosingholizade, Ali, Erfanifard, Yousef, Alavipanah, Seyed Kazem, Pirasteh, Saied, Garcia Millan, Virginia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Gottingen Copernicus GmbH 04.11.2024 Copernicus Publications
Schlagworte:	Absorption Algorithms Artificial neural networks Carbon dioxide Classification Energy absorption Image enhancement Machine learning Parameter identification Photosynthesis Pine trees Pixels Spatial resolution Support vector machines Transpiration
ISSN:	2194-9050, 2194-9042, 2194-9050
Online-Zugang:	Volltext
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