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

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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Bibliographic Details
Main Authors: Min Li, Zhijie Zhang, Liping Lei, Xiaofan Wang, Xudong Guo
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
agricultural greenhouse detection
convolutional neural network
Faster R-CNN
YOLO v3
SSD
Online Access:https://www.mdpi.com/1424-8220/20/17/4938

Internet

https://www.mdpi.com/1424-8220/20/17/4938

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