Urban Tree Classification Based on Object-Oriented Approach and Random Forest Algorithm Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery

Urban Tree Classification Based on Object-Oriented Approach and Random Forest Algorithm Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery

Timely and accurate information on the spatial distribution of urban trees is critical for sustainable urban development, management and planning. Compared with satellite-based remote sensing, Unmanned Aerial Vehicle (UAV) remote sensing has a higher spatial and temporal resolution, which provides a...

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Bibliographic Details
Main Authors: Qian Guo, Jian Zhang, Shijie Guo, Zhangxi Ye, Hui Deng, Xiaolong Hou, Houxi Zhang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
multispectral image
Unmanned Aerial Vehicle (UAV)
random forest
tree species classification
object-oriented
Online Access:https://www.mdpi.com/2072-4292/14/16/3885

Internet

https://www.mdpi.com/2072-4292/14/16/3885

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