一种测绘信息数据智能分析方法及系统
By recording the local density, energy attenuation, and interlayer variance of the point cloud dataset in real time, calculating the self-organized fracture index, and adjusting the parameters of the lidar system, the problem of parameter coupling imbalance in lidar system parameter adjustment is solved, thereby improving the mapping accuracy and point cloud quality.
Patent Information
- Application Number
- CN202512055111.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-31
- Publication Date
- 2026-07-17
- Estimated Expiration
- 2045-12-31
AI Technical Summary
Existing lidar systems lack a mechanism to identify imbalances in parameter coupling when adjusting pulse repetition frequency and scanning angle range, resulting in significant fluctuations in mapping accuracy and an inability to accurately reflect the true terrain.
By recording the local point cloud density, energy attenuation coefficient, and interlayer variance during the generation of the point cloud dataset in real time as a real-time state vector, the self-organized fracture index is calculated, and the parameters of the lidar system are judged and adjusted to ensure point cloud quality and measurement accuracy.
It has improved the stability of lidar mapping accuracy, and the generated point cloud dataset has a more reasonable density and measurement accuracy, which can accurately reflect the real terrain.
Smart Images
Figure CN121784767B_ABST
Abstract
Citation Information
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