UAV-Based Intelligent Detection of Individual Trees in Moso Bamboo Forests With Complex Canopy Structure

Detection of individual trees in Moso bamboo forests is critical to forestry resource management. However, accurate and rapid detection remains a significant challenge due to the high density of Moso bamboo forests and complex canopy structure. This study proposed a new canopy detection and counting...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2024, Vol.17, p.11915-11930
Hauptverfasser:	Lv, Lujin, Zhao, Yinyin, Li, Xuejian, Yu, Jiacong, Song, Meixuan, Huang, Lei, Mao, Fangjie, Du, Huaqiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Autonomous aerial vehicles Bamboo Canopies Canopy Counting trees Datasets deep learning Feature extraction Forest management Forestry Forests Light Moso bamboo forests multiband data Networks Object recognition Phyllostachys edulis Plant cover Random forests Resource management Trees unmanned aerial vehicle (UAV) Unmanned aerial vehicles Vegetation
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!