干旱区生态环境知识资源中心(Arid): Contrasting YOLOv5, Transformer, and EfficientDet Detectors for Crop Circle Detection in Desert

Arid

DOI	10.1109/LGRS.2021.3085139
	Contrasting YOLOv5, Transformer, and EfficientDet Detectors for Crop Circle Detection in Desert
	Mekhalfi, Mohamed Lamine; Nicolo, Carlo; Bazi, Yakoub; Al Rahhal, Mohamad Mahmoud; Alsharif, Norah A.; Al Maghayreh, Eslam
通讯作者	Al Rahhal, MM (corresponding author)，King Saud Univ, Coll Appl Comp Sci, Dept Appl Comp Sci, Riyadh 11543, Saudi Arabia.
来源期刊	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
ISSN	1545-598X
EISSN	1558-0571
出版年	2022
卷号	19
英文摘要	Ongoing discoveries of water reserves have fostered an increasing adoption of crop circles in the desert in several countries. Automatically quantifying and surveying the layout of crop circles in remote areas can be of great use for stakeholders in managing the expansion of the farming land. This letter compares latest deep learning models for crop circle detection and counting, namely Detection Transformers, EfficientDet and YOLOv5 are evaluated. To this end, we build two datasets, via Google Earth Pro, corresponding to two large crop circle hot spots in Egypt and Saudi Arabia. The images were drawn at an altitude of 20 km above the targets. The models are assessed in within-domain and cross-domain scenarios, and yielded plausible detection potential and inference response.
英文关键词	Agriculture Computer science Object detection Indexes Detectors Training Internet Aerial imagery crop circles detection transformers (DETRs) efficientDet object detection precision farming YOLOv5
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000730789400001
WOS关键词	YIELD ESTIMATION
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376772
作者单位	[Mekhalfi, Mohamed Lamine; Nicolo, Carlo] Univ Trento, Dept Informat Engn & Comp Sci, I-38123 Trento, Italy; [Bazi, Yakoub; Alsharif, Norah A.] King Saud Univ, Coll Comp & Informat Sci, Dept Comp Engn, Riyadh 11543, Saudi Arabia; [Al Rahhal, Mohamad Mahmoud; Al Maghayreh, Eslam] King Saud Univ, Coll Appl Comp Sci, Dept Appl Comp Sci, Riyadh 11543, Saudi Arabia; [Al Maghayreh, Eslam] Yarmouk Univ, Dept Comp Sci, Irbid 21163, Jordan
推荐引用方式 GB/T 7714	Mekhalfi, Mohamed Lamine,Nicolo, Carlo,Bazi, Yakoub,et al. Contrasting YOLOv5, Transformer, and EfficientDet Detectors for Crop Circle Detection in Desert[J],2022,19.
APA	Mekhalfi, Mohamed Lamine,Nicolo, Carlo,Bazi, Yakoub,Al Rahhal, Mohamad Mahmoud,Alsharif, Norah A.,&Al Maghayreh, Eslam.(2022).Contrasting YOLOv5, Transformer, and EfficientDet Detectors for Crop Circle Detection in Desert.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,19.
MLA	Mekhalfi, Mohamed Lamine,et al."Contrasting YOLOv5, Transformer, and EfficientDet Detectors for Crop Circle Detection in Desert".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 19(2022).