TSCMDL: Multimodal Deep Learning Framework for Classifying Tree Species Using Fusion of 2-D and 3-D Features

Accurate tree species information is a prerequisite for forest resource management. Combining light detection and ranging (LiDAR) and image data is one main method of tree species classification. Traditional machine learning methods rely on expert knowledge to calculate a large number of feature par...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2023, Vol.61, p.1-11
Hauptverfasser:	Liu, Bingjie, Hao, Yuanshuo, Huang, Huaguo, Chen, Shuxin, Li, Zengyuan, Chen, Erxue, Tian, Xin, Ren, Min
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Computer networks Deep learning Feature extraction Forest management Forest resources Frameworks Lidar Machine learning Methods Plant species Resource management Species Species classification Three dimensional models Training Trees Unmanned aerial vehicles
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!