Ship Classification and Detection Method for Optical Remote Sensing Images Based on Improved YOLOv5s

Qikai Zhou; Wei Zhang; Dongjin Li; Fu Niu

doi:10.3788/LOP202259.1628008

Journals >Laser & Optoelectronics Progress >Volume 59 >Issue 16 >Page 1628008 > Article

Laser & Optoelectronics Progress
Vol. 59, Issue 16, 1628008 (2022)

Ship Classification and Detection Method for Optical Remote Sensing Images Based on Improved YOLOv5s

Qikai Zhou¹, Wei Zhang¹, Dongjin Li², and Fu Niu^1、*

Author Affiliations

¹Academy of Systems Engineering of Academy of Military Science of Chinese PLA, Beijing 100071, China

²Beijing Institute of Control and Electronic Technology, Beijing 100038, China

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DOI: 10.3788/LOP202259.1628008 Cite this Article Set citation alerts

Qikai Zhou, Wei Zhang, Dongjin Li, Fu Niu. Ship Classification and Detection Method for Optical Remote Sensing Images Based on Improved YOLOv5s[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1628008 Copy Citation Text

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