Version 1
: Received: 13 February 2024 / Approved: 14 February 2024 / Online: 15 February 2024 (09:11:04 CET)
How to cite:
Miao, S.; Zhang, K.F.; Zeng, H.; Liu, J. AI-Based Tree Species Classification Using Pseudo Tree Crown Derived From UAV Imagery. Preprints2024, 2024020786. https://doi.org/10.20944/preprints202402.0786.v1
Miao, S.; Zhang, K.F.; Zeng, H.; Liu, J. AI-Based Tree Species Classification Using Pseudo Tree Crown Derived From UAV Imagery. Preprints 2024, 2024020786. https://doi.org/10.20944/preprints202402.0786.v1
Miao, S.; Zhang, K.F.; Zeng, H.; Liu, J. AI-Based Tree Species Classification Using Pseudo Tree Crown Derived From UAV Imagery. Preprints2024, 2024020786. https://doi.org/10.20944/preprints202402.0786.v1
APA Style
Miao, S., Zhang, K.F., Zeng, H., & Liu, J. (2024). AI-Based Tree Species Classification Using Pseudo Tree Crown Derived From UAV Imagery. Preprints. https://doi.org/10.20944/preprints202402.0786.v1
Chicago/Turabian Style
Miao, S., Hongda Zeng and Jane Liu. 2024 "AI-Based Tree Species Classification Using Pseudo Tree Crown Derived From UAV Imagery" Preprints. https://doi.org/10.20944/preprints202402.0786.v1
Abstract
Urban tree classification is pivotal in urban planning and management, facilitating informed decision-making processes. In this study, we introduce a novel data presentation method termed Pseudo Tree Crown, designed to enhance the accuracy and efficiency of urban tree classification. Leveraging the latest advancements in artificial intelligence (AI), we employ a state-of-the-art classification scheme, PyTorch, to maximize the accuracy of tree classification. Our results demonstrate a robust classification accuracy of over 95% from high spatial resolution imagery from Unmanned Aerial Vehicle (UAV), underscoring our proposed approach’s effectiveness. Moreover, the adaptability of our method renders it applicable to various study areas, highlighting its versatility and potential for widespread implementation in urban planning and management initiatives.
Keywords
Pseudo Tree Crown (PTC); PyTorch; Artificial Intelligence (AI); Unmanned Aerial Vehicle (UAV); individual tree species (ITS) classification
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
