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Small Target Detection Algorithm for UAV Aerial Photography Based on Improved YOLOv5s

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成果类型:
期刊论文
作者:
Shang, Jingcheng;Wang, Jinsong;Liu, Shenbo;Wang, Chen;Zheng, Bin
通讯作者:
Zheng, B
作者机构:
[Zheng, B; Zheng, Bin; Wang, Jinsong; Shang, Jingcheng; Wang, Chen] Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha 410114, Peoples R China.
[Liu, Shenbo] Changsha Univ Sci & Technol, Sch Phys & Elect Sci, Changsha 410114, Peoples R China.
通讯机构:
[Zheng, B ] C
Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha 410114, Peoples R China.
语种:
英文
关键词:
small target detection;Mul-BiFPN;M-SimAM;Focal EIoU
期刊:
Electronics
ISSN:
2079-9292
年:
2023
卷:
12
期:
11
页码:
2434-
基金类别:
Conceptualization, J.S. and J.W.; methodology, J.S.; software, J.S. and J.W.; validation, J.S., J.W., S.L., C.W. and B.Z.; formal analysis, J.S.; investigation, J.W.; resources, B.Z.; data curation, J.S.; writing—original draft preparation, J.S. and J.W.; writing—review and editing, J.S., J.W., S.L., C.W. and B.Z.; visualization, J.S. and J.W.; supervision, B.Z.; project administration, J.S., J.W., S.L., C.W. and B.Z.; funding acquisition, B.Z. All authors have read and agreed to the published version of the manuscript. This research received no external funding.
机构署名:
本校为第一且通讯机构
院系归属:
计算机与通信工程学院
物理与电子科学学院
摘要:
At present, UAV aerial photography has a good prospect in agricultural production, disaster response, and other aspects. The application of UAVs can greatly improve work efficiency and decision-making accuracy. However, owing to inherent features such as a wide field of view and large differences in the target scale in UAV aerial photography images, this can lead to existing target detection algorithms missing small targets or causing incorrect detections. To solve these problems, this paper proposes a small target detection algorithm for UAV aerial photography based on improved YOLOv5s. First...

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