Individual Tree Species Identification for Complex Coniferous and Broad-Leaved Mixed Forests Based on Deep Learning Combined with UAV LiDAR Data and RGB Images
Automatic and accurate individual tree species identification is essential for the realization of smart forestry. Although existing studies have used unmanned aerial vehicle (UAV) remote sensing data for individual tree species identification, the effects of different spatial resolutions and combini...
Main Authors: | Hao Zhong, Zheyu Zhang, Haoran Liu, Jinzhuo Wu, Wenshu Lin |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-02-01
|
Series: | Forests |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4907/15/2/293 |
Similar Items
-
Intelligent Estimating the Tree Height in Urban Forests Based on Deep Learning Combined with a Smartphone and a Comparison with UAV-LiDAR
by: Jie Xuan, et al.
Published: (2022-12-01) -
Fine Classification of Urban Tree Species Based on UAV-Based RGB Imagery and LiDAR Data
by: Jingru Wu, et al.
Published: (2024-02-01) -
Identification of tree species based on the fusion of UAV hyperspectral image and LiDAR data in a coniferous and broad-leaved mixed forest in Northeast China
by: Hao Zhong, et al.
Published: (2022-09-01) -
Real-Time RGB-D Simultaneous Localization and Mapping Guided by Terrestrial LiDAR Point Cloud for Indoor 3-D Reconstruction and Camera Pose Estimation
by: Xujie Kang, et al.
Published: (2019-08-01) -
People Identification in Private Car Using 3D LiDAR With Generative Image Inpainting and YOLOv5
by: Weirong Shao, et al.
Published: (2024-01-01)