Detecting Pest-Infested Forest Damage through Multispectral Satellite Imagery and Improved UNet++

Plant pests are the primary biological threats to agricultural and forestry production as well as forest ecosystem. Monitoring forest-pest damage via satellite images is crucial for the development of prevention and control strategies. Previous studies utilizing deep learning to monitor pest-infeste...

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Detalles Bibliográficos
Autores principales: Zhang, Jingzong, Cong, Shijie, Zhang, Gen, Ma, Yongjun, Zhang, Yi, Huang, Jianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570766/
https://www.ncbi.nlm.nih.gov/pubmed/36236538
http://dx.doi.org/10.3390/s22197440

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570766/
https://www.ncbi.nlm.nih.gov/pubmed/36236538
http://dx.doi.org/10.3390/s22197440

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