Agricultural Greenhouses Detection in High-Resolution Satellite Images Based on Convolutional Neural Networks: Comparison of Faster R-CNN, YOLO v3 and SSD

Agricultural greenhouses (AGs) are an important facility for the development of modern agriculture. Accurately and effectively detecting AGs is a necessity for the strategic planning of modern agriculture. With the advent of deep learning algorithms, various convolutional neural network (CNN)-based...

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Detalles Bibliográficos
Autores principales: Li, Min, Zhang, Zhijie, Lei, Liping, Wang, Xiaofan, Guo, Xudong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506698/
https://www.ncbi.nlm.nih.gov/pubmed/32878345
http://dx.doi.org/10.3390/s20174938

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506698/
https://www.ncbi.nlm.nih.gov/pubmed/32878345
http://dx.doi.org/10.3390/s20174938

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