Remote Sensing-Based Estimation of Seedling Density in Nursery Gardens Using YOLOv4 Deep Learning Algorithm
文献类型：期刊论文
| 作者 | Y. Wang, J. Sun, F. Wang and D. Li |
| 刊名 | Traitement du Signal
 |
| 出版日期 | 2023 |
| 卷号 | 40期号:4页码:1533-1541 |
| ISSN号 | 07650019 |
| DOI | 10.18280/ts.400421 |
| 英文摘要 | In nursery gardens, seedlings are traditionally densely planted, leading to large errors and questionable accuracy when employing standard sampling and probability statistical methods. Such conventional methods also prove labor-intensive. To address these challenges, a patrol platform equipped with a drone-mounted image acquisition system was developed. Remote sensing images, sourced from a nursery garden situated in the Linjiang Forestry Bureau of Jilin Province, China, served as the primary dataset. By leveraging the deep learning-based target detection capabilities of the YOLOv4 algorithm, seedlings within the nursery garden were meticulously surveyed, delineated, and enumerated. For the statistical evaluation of Pinus Koraiensis (Korean pine) seedlings, a precision of 91.85% was achieved using the YOLOv4 algorithm. Results suggest a notable robustness of the model in standard environments. Compared to traditional quadrat sampling and detection approaches, the methodology introduced here offers an intelligent, efficient, and precise mapping strategy for large-scale seedling surveys. © 2023 Lavoisier. All rights reserved. |
| URL标识 | 查看原文 |
| 源URL | [http://ir.ciomp.ac.cn/handle/181722/67992]  |
| 专题 | 中国科学院长春光学精密机械与物理研究所 |
| 推荐引用方式 GB/T 7714 | Y. Wang, J. Sun, F. Wang and D. Li. Remote Sensing-Based Estimation of Seedling Density in Nursery Gardens Using YOLOv4 Deep Learning Algorithm[J]. Traitement du Signal,2023,40(4):1533-1541. |
| APA | Y. Wang, J. Sun, F. Wang and D. Li.(2023).Remote Sensing-Based Estimation of Seedling Density in Nursery Gardens Using YOLOv4 Deep Learning Algorithm.Traitement du Signal,40(4),1533-1541. |
| MLA | Y. Wang, J. Sun, F. Wang and D. Li."Remote Sensing-Based Estimation of Seedling Density in Nursery Gardens Using YOLOv4 Deep Learning Algorithm".Traitement du Signal 40.4(2023):1533-1541. |
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