An Efficient and Lightweight Convolutional Neural Network for Remote Sensing Image Scene Classification

Classifying remote sensing images is vital for interpreting image content. Presently, remote sensing image scene classification methods using convolutional neural networks have drawbacks, including excessive parameters and heavy calculation costs. More efficient and lightweight CNNs have fewer param...

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Detalles Bibliográficos
Autores principales: Yu, Donghang, Xu, Qing, Guo, Haitao, Zhao, Chuan, Lin, Yuzhun, Li, Daoji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181261/
https://www.ncbi.nlm.nih.gov/pubmed/32252483
http://dx.doi.org/10.3390/s20071999

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181261/
https://www.ncbi.nlm.nih.gov/pubmed/32252483
http://dx.doi.org/10.3390/s20071999

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