Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/app11052238 |
Detecting Crop Circles in Google Earth Images with Mask R-CNN and YOLOv3 | |
Mekhalfi, Mohamed Lamine; Nicolo, Carlo; Bazi, Yakoub; Al Rahhal, Mohamad Mahmoud; Al Maghayreh, Eslam | |
通讯作者 | Al Rahhal, MM (corresponding author), King Saud Univ, Coll Appl Comp Sci, Appl Comp Sci Dept, Riyadh 11543, Saudi Arabia. |
来源期刊 | APPLIED SCIENCES-BASEL
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EISSN | 2076-3417 |
出版年 | 2021 |
卷号 | 11期号:5 |
英文摘要 | Automatic detection and counting of crop circles in the desert can be of great use for large-scale farming as it enables easy and timely management of the farming land. However, so far, the literature remains short of relevant contributions in this regard. This letter frames the crop circles detection problem within a deep learning framework. In particular, accounting for their outstanding performance in object detection, we investigate the use of Mask R-CNN (Region Based Convolutional Neural Networks) as well as YOLOv3 (You Only Look Once) models for crop circle detection in the desert. In order to quantify the performance, we build a crop circles dataset from images extracted via Google Earth over a desert area in the East Oweinat in the South-Western Desert of Egypt. The dataset totals 2511 crop circle samples. With a small training set and a relatively large test set, plausible detection rates were obtained, scoring a precision of 1 and a recall of about 0.82 for Mask R-CNN and a precision of 0.88 and a recall of 0.94 regarding YOLOv3. |
英文关键词 | crop circles target detection instance segmentation Google Earth deep learning precision farming Mask R-CNN YOLOv3 |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:000627938800001 |
WOS类目 | Chemistry, Multidisciplinary ; Engineering, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied |
WOS研究方向 | Chemistry ; Engineering ; Materials Science ; Physics |
来源机构 | King Saud University |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/349504 |
作者单位 | [Mekhalfi, Mohamed Lamine; Nicolo, Carlo] Univ Trento, Dept Informat Engn & Comp Sci, I-38123 Trento, Italy; [Bazi, Yakoub] King Saud Univ, Comp Engn Dept, Coll Comp & Informat Sci, Riyadh 11543, Saudi Arabia; [Al Rahhal, Mohamad Mahmoud; Al Maghayreh, Eslam] King Saud Univ, Coll Appl Comp Sci, Appl Comp Sci Dept, Riyadh 11543, Saudi Arabia; [Al Maghayreh, Eslam] Yarmouk Univ, Comp Sci Dept, Irbid 21163, Jordan |
推荐引用方式 GB/T 7714 | Mekhalfi, Mohamed Lamine,Nicolo, Carlo,Bazi, Yakoub,et al. Detecting Crop Circles in Google Earth Images with Mask R-CNN and YOLOv3[J]. King Saud University,2021,11(5). |
APA | Mekhalfi, Mohamed Lamine,Nicolo, Carlo,Bazi, Yakoub,Al Rahhal, Mohamad Mahmoud,&Al Maghayreh, Eslam.(2021).Detecting Crop Circles in Google Earth Images with Mask R-CNN and YOLOv3.APPLIED SCIENCES-BASEL,11(5). |
MLA | Mekhalfi, Mohamed Lamine,et al."Detecting Crop Circles in Google Earth Images with Mask R-CNN and YOLOv3".APPLIED SCIENCES-BASEL 11.5(2021). |
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