Object Detection of Individual Mangrove Based on Improved YOLOv5

Yongkang Ma; Hua Liu; Chengxing Ling; Feng Zhao; Yi Jiang; Yutong Zhang

doi:10.3788/LOP202259.1828003

Journals >Laser & Optoelectronics Progress >Volume 59 >Issue 18 >Page 1828003 > Article

Laser & Optoelectronics Progress
Vol. 59, Issue 18, 1828003 (2022)

Object Detection of Individual Mangrove Based on Improved YOLOv5

Yongkang Ma^1、2, Hua Liu^1、2、*, Chengxing Ling^1、2, Feng Zhao^1、2, Yi Jiang^1、2, and Yutong Zhang^1、2

Author Affiliations

¹Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

²Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China

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DOI: 10.3788/LOP202259.1828003 Cite this Article Set citation alerts

Yongkang Ma, Hua Liu, Chengxing Ling, Feng Zhao, Yi Jiang, Yutong Zhang. Object Detection of Individual Mangrove Based on Improved YOLOv5[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1828003 Copy Citation Text

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Yongkang Ma, Hua Liu, Chengxing Ling, Feng Zhao, Yi Jiang, Yutong Zhang. Object Detection of Individual Mangrove Based on Improved YOLOv5[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1828003

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