More appropriate DenseNetBL classifier for small sample tree species classification using UAV-based RGB imagery

To effectively classify tree species within datasets characterized by limited samples, we introduced a novel approach named DenseNetBL, founded upon the fusion of the DenseNet architecture and a pivotal bottleneck layer. This bottleneck layer, encompassing a compact convolutional component, played a...

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Detalles Bibliográficos
Autores principales: Wang, Ni, Pu, Tao, Zhang, Yali, Liu, Yuchan, Zhang, Zeyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556787/
https://www.ncbi.nlm.nih.gov/pubmed/37810825
http://dx.doi.org/10.1016/j.heliyon.2023.e20467

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556787/
https://www.ncbi.nlm.nih.gov/pubmed/37810825
http://dx.doi.org/10.1016/j.heliyon.2023.e20467

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