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在3D点云上 - - 棕树和子树数据集提取及其使用情况
Chantana Chantrapornchai1, Phisit Srijan2
1Department of Computer Engineering, Kasetsart University, Ngamwongwan Rd., Bangkok, 10900, Thailand. fengcnc@ku.ac.th.
BMC research notes
|December 9, 2023
概括
本研究探讨使用开源软件从无人机图像创建3D树数据集. 研究人员展示了棕树和子树的3D模型,用于诸如体积估计等应用.
科学领域:
- 农业科学 农业科学
- 计算机视觉 计算机视觉
- 地理空间技术是什么
背景情况:
- 无人机图像为现场调查和分析提供了宝贵的数据.
- 目前的无人机绘图软件可以实现3D对象的重建.
- 开源工具在科学研究中越来越普遍.
研究的目的:
- 用开源软件研究构建3D树数据集的过程.
- 探索这些3D数据集的应用,特别是在农业中.
- 以棕树和子树的案例研究来展示开源工具的有效性.
主要方法:
- 使用OpenDroneMap进行图像处理和3D重建.
- 使用CloudCompare和Open3D进行点云数据处理和分析.
- 开发了针对特定树种的3D点云数据集.
主要成果:
- 成功提取了40棵棕树和40棵子树的点云.
- 展示了生成的3D数据集的实际应用.
- 提供了在体积估计和图形分析中使用的例子.
结论:
- 开源软件有效用于从无人机图像中创建3D树数据集.
- 生成的数据集在农业分析中具有实际应用.
- 这种方法为3D地理空间数据构建提供了一种具有成本效益和可访问性的方法.
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