Tree Species Classification in UAV Remote Sensing Images Based on Super-Resolution Reconstruction and Deep Learning

Tree Species Classification in UAV Remote Sensing Images Based on Super-Resolution Reconstruction and Deep Learning

We studied the use of self-attention mechanism networks (SAN) and convolutional neural networks (CNNs) for forest tree species classification using unmanned aerial vehicle (UAV) remote sensing imagery in Dongtai Forest Farm, Jiangsu Province, China. We trained and validated representative CNN models...

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Bibliographic Details
Main Authors: Yingkang Huang, Xiaorong Wen, Yuanyun Gao, Yanli Zhang, Guozhong Lin
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
self-attention mechanism networks
convolutional neural networks
Real-ESRGAN
transformer
tree species classification
Online Access:https://www.mdpi.com/2072-4292/15/11/2942

Internet

https://www.mdpi.com/2072-4292/15/11/2942

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