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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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Autors principals: Zuyi Zhang, Biao Wang, Wenwen Chen, Yanlan Wu, Jun Qin, Peng Chen, Hanlu Sun, Ao He
Format: Artigo
Idioma:Inglês
Publicat: MDPI AG 2023-02-01
Col·lecció:Remote Sensing
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Accés en línia:https://www.mdpi.com/2072-4292/15/5/1181
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