基于双约束凸包算法的单木直径估算方法
By optimizing the convex hull algorithm and combining it with tree canopy point cloud mapping, and introducing a distance threshold, the problems of time-consuming, labor-intensive, and inaccurate trunk diameter measurement in traditional methods are solved, and high-precision trunk diameter estimation is achieved.
CN120672828BActive Publication Date: 2026-07-17国家林业和草原局中南调查规划院 +1
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 国家林业和草原局中南调查规划院
- Filing Date
- 2025-06-04
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Traditional methods are time-consuming, labor-intensive, and unreproducible when measuring the diameter of a single tree. Existing convex hull algorithms cannot accurately describe the shape of the tree trunk, resulting in inaccurate measurement results.
Method used
We employ a double-constraint convex hull algorithm to optimize the fit between the convex hull boundary and the tree canopy point cloud, and introduce a distance threshold to improve computational efficiency and accuracy.
Benefits of technology
The system accurately calculates the trunk diameter at different heights. Experimental results show that the correlation coefficient R2 with the true value is 0.995, the root mean square error RMSE is 0.55cm, and the extraction results are highly reliable.
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Figure CN120672828B_ABST
Abstract
本发明提供一种基于双约束凸包算法的单木直径估算方法，属于单木直径领域。实验以马尾松为主要研究对象，以71株单木为样本，破坏性的采集了不同高度直径的真实值，验证并讨论了该算法反演树干不同高度直径的准确性。实验结果表明：所提取胸径与真实值相比，R2为0.995，RMSE为0.55cm；所提取不同高度直径与真实值相比，随着点云高度的增加反演精度逐渐降低。在4 / 10处以下，所反演R2均大于0.9；4 / 10处到6 / 10处间，反演R2有所降低但仍大于0.5；6 / 10处以上反演精度较低，其主要由于地基激光雷达无法扫描到高处的点云，从而导致数据缺失造成精度下降。当点云数据充足时，该算法提取不同高度直径结果可靠。
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