An Improved Res-UNet Model for Tree Species Classification Using Airborne High-Resolution Images

Tree species classification is important for the management and sustainable development of forest resources. Traditional object-oriented tree species classification methods, such as support vector machines, require manual feature selection and generally low accuracy, whereas deep learning technology...

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Bibliographic Details
Main Authors: Kaili Cao, Xiaoli Zhang
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/12/7/1128