A long-distance non-contact tree breast diameter automatic measuring device and method
By combining binocular cameras and inertial sensors, and utilizing the geometric curvature characteristics of tree trunks and a closed-loop verification mechanism, the accuracy problem of tree diameter at breast height (DBH) measurement in complex field environments was solved, achieving high-precision non-contact measurement.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHONGSHAN NATURE RESERVE MANAGEMENT & PROTECTION CENTER (ZHONGSHAN FORESTRY SCIENCE INSTITUTE GUANGDONG ZHONGSHAN XIANGSHAN PROVINCIAL NATURE RESERVE MANAGEMENT & PROTECTION CENTER GUANGDONG ZHONGSHAN NATIONAL FOREST PARK MANAGEMENT CENTER ZHONGSHAN FOREST FARM)
- Filing Date
- 2026-04-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing visual measurement technologies struggle to accurately identify tree trunk edges in complex field environments, leading to severe distortion in tree diameter at breast height (DBH) measurements. They also lack a reasonable perception and verification mechanism for obstructed areas, making it impossible to achieve high-precision measurements in complex forest conditions.
Image frame data and six-axis displacement vectors from an inertial sensor are acquired by a binocular camera to generate a spatial attention mask matrix. Extrapolation prediction is performed using the geometric curvature features of the measured edges, and a closed-loop mechanism is established. Slope residual verification and iterative correction are used to ensure the smoothness of edge connection.
It enables high-precision automatic measurement of tree diameter at breast height (DBH) in complex shading environments, avoiding geometric distortions caused by traditional methods and ensuring the accuracy and robustness of the measurement results.
Smart Images
Figure CN122415709A_ABST