Recognition of Abnormal Individuals Based on Lightweight Deep Learning Using Aerial Images in Complex Forest Landscapes: A Case Study of Pine Wood Nematode

Recognition of Abnormal Individuals Based on Lightweight Deep Learning Using Aerial Images in Complex Forest Landscapes: A Case Study of Pine Wood Nematode

Individuals with abnormalities are key drivers of subtle stress changes in forest ecosystems. Although remote sensing monitoring and deep learning have been developed for forest ecosystems, they are faced with the complexity of forest landscapes, multiple sources of remote sensing data, high monitor...

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Bibliographic Details
Main Authors: Zuyi Zhang, Biao Wang, Wenwen Chen, Yanlan Wu, Jun Qin, Peng Chen, Hanlu Sun, Ao He
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Remote Sensing
Subjects:
abnormal individuals
deep learning
pine wood nematodes
UAV
forest ecosystem
Online Access:https://www.mdpi.com/2072-4292/15/5/1181

Internet

https://www.mdpi.com/2072-4292/15/5/1181

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