Three-dimensional grid automatic filling method and device for unmanned aerial vehicle point cloud hole repair
By employing multi-scale neighborhood feature analysis and adaptive filling strategies, the problem of voids in UAV point cloud data has been solved, achieving high-precision and automated void repair, improving the product quality of DEM and DSM, and making it applicable to fields such as topographic mapping and urban modeling.
Patent Information
- Application Number
- CN202511470142.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-15
- Publication Date
- 2025-11-14
- Estimated Expiration
- 2045-10-15
AI Technical Summary
In existing UAV point cloud data processing, local sparse areas or holes often appear after meshing. Existing filling methods are unable to adaptively select filling strategies according to the hole situation, resulting in a decrease in DEM/DSM accuracy, terrain distortion or faulting, and affecting the reliability of urban planning and simulation.
Through multi-scale neighborhood feature analysis, the most suitable filling strategy is intelligently selected or weighted fusion, including planar interpolation, neighborhood weighted interpolation, feature matching and multi-scale hierarchical filling method, to ensure that the filling result maintains a high degree of continuity and consistency with the surrounding real environment in terms of geometric structure.
It achieves high-precision and automated cavity repair, improves the product quality of digital elevation models and digital surface models, reduces the manpower and time costs of data processing, and is suitable for large-scale engineering applications.