Assessment of LiDAR-Based Atmospheric Observations Using YOLOv9 for Sky Image Recognition
文献类型：期刊论文
| 作者 | Xu, Long1,2; Lin, Xin3; Liu, Linmei3; Wang, Jiqin3; Lin, Xingkui4 ; Bai, Chunhai4; Lin, Zhaoxiang5; Wang, Wei3; Yang, Yong3; Cheng, Xuewu3
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| 刊名 | IEEE SENSORS JOURNAL
 |
| 出版日期 | 2025 |
| 卷号 | 25期号:1页码:1825-1838 |
| 关键词 | Atmospheric modeling Laser radar Clouds Accuracy Meteorology Data models Atmospheric measurements Stars Predictive models Image recognition Atmospheric detection data quality assessment environmental monitoring image recognition LiDAR YOLOv9 |
| ISSN号 | 1530-437X |
| DOI | 10.1109/JSEN.2024.3491303 |
| 产权排序 | 3 |
| 英文摘要 | This study introduces an innovative method to improve the quality and accuracy of LiDAR observation data using YOLOv9 image recognition technology. By correlating daytime cloud image grayscale values and nighttime sky star counts with LiDAR data, this method provides a robust solution for all-weather observations. Experimental results show that this technique can accurately predict LiDAR data quality under various environmental conditions, offering a valuable tool for atmospheric science research and meteorological monitoring. |
| WOS关键词 | 105 KM ALTITUDE |
| 资助项目 | National Natural Science Foundation of China[42305152] ; National Key Research and Development Program of China[2022YFC2807201] ; Chinese Meridian Project(CMP) |
| WOS研究方向 | Engineering ; Instruments & Instrumentation ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:001389581900005 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; National Key Research and Development Program of China ; Chinese Meridian Project(CMP) |
| 源URL | [http://ir.xao.ac.cn/handle/45760611-7/7362]  |
| 专题 | 光学天文与技术应用研究室_光学天文技术研究团组 |
| 通讯作者 | Lin, Xin |
| 作者单位 | 1.Chinese Acad Sci, Innovat Acad Precis Measurement Sci & Technol, Wuhan 100049, Peoples R China 2.Univ Chinese Acad Sci, Innovat Acad Precis Measurement Sci & Technol, Beijing 101408, Peoples R China 3.Chinese Acad Sci, Innovat Acad Precis Measurement Sci & Technol, Wuhan 100864, Peoples R China 4.Chinese Acad Sci, Xinjiang Astron Observ, Xinjiang 830011, Peoples R China 5.South Cent Minzu Univ, Coll Elect & Informat Engn, Hubei Key Lab Intelligent Wireless Commun, Wuhan 430074, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Long,Lin, Xin,Liu, Linmei,et al. Assessment of LiDAR-Based Atmospheric Observations Using YOLOv9 for Sky Image Recognition[J]. IEEE SENSORS JOURNAL,2025,25(1):1825-1838. |
| APA | Xu, Long.,Lin, Xin.,Liu, Linmei.,Wang, Jiqin.,Lin, Xingkui.,...&Li, Faquan.(2025).Assessment of LiDAR-Based Atmospheric Observations Using YOLOv9 for Sky Image Recognition.IEEE SENSORS JOURNAL,25(1),1825-1838. |
| MLA | Xu, Long,et al."Assessment of LiDAR-Based Atmospheric Observations Using YOLOv9 for Sky Image Recognition".IEEE SENSORS JOURNAL 25.1(2025):1825-1838. |
入库方式： OAI收割
来源：新疆天文台
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