Improving Artificial-Intelligence-Based Individual Tree Species Classification Using Pseudo Tree Crown Derived from Unmanned Aerial Vehicle Imagery

Improving Artificial-Intelligence-Based Individual Tree Species Classification Using Pseudo Tree Crown Derived from Unmanned Aerial Vehicle Imagery

Urban tree classification enables informed decision-making processes in urban planning and management. This paper introduces a novel data reformation method, pseudo tree crown (PTC), which enhances the feature difference in the input layer and results in the improvement of the accuracy and efficienc...

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Bibliographic Details
Main Authors: Shengjie Miao, Kongwen (Frank) Zhang, Hongda Zeng, Jane Liu
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Remote Sensing
Subjects:
pseudo tree crown (PTC)
deep learning (DL)
machine learning (ML)
artificial intelligence (AI)
unmanned aerial vehicle (UAV)
individual tree species (ITS) classification
Online Access:https://www.mdpi.com/2072-4292/16/11/1849

Internet

https://www.mdpi.com/2072-4292/16/11/1849

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