Researching | Remote Sensing Object Detection Methods Based on Improved YOLOv5s

Laser & Optoelectronics Progress, Volume. 61, Issue 18, 1828004(2024)

Remote Sensing Object Detection Methods Based on Improved YOLOv5s

Kailun Cheng^1,2, Xiaobing Hu^1,2、*, Haijun Chen^1,2, and Hu Li^1,2

Author Affiliations

¹School of Mechanical Engineering, Sichuan University, Chengdu 610065, Sichuan, China

²Yibin Institute of Industrial Technology, Sichuan University, Yibin 644005, Sichuan, China

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References(18)

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Kailun Cheng, Xiaobing Hu, Haijun Chen, Hu Li. Remote Sensing Object Detection Methods Based on Improved YOLOv5s[J]. Laser & Optoelectronics Progress, 2024, 61(18): 1828004

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Paper Information

Category: Remote Sensing and Sensors

Received: Jan. 11, 2024

Accepted: Feb. 5, 2024

Published Online: Sep. 9, 2024

The Author Email: Xiaobing Hu (scuhxb@163.com)

DOI:10.3788/LOP240576

CSTR:32186.14.LOP240576

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology