Regional adaptive DEM data generation method based on tilt model data
By combining deep learning models and CSF filtering algorithms, fully automated and high-precision DEM data generation based on skew model data is realized, fully automated and terrain adaptability problems are solved, and the efficiency and accuracy of DEM data generation are improved.
Patent Information
- Application Number
- CN202510957234.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-11
- Publication Date
- 2025-08-12
- Estimated Expiration
- 2045-07-11
AI Technical Summary
The prior art cannot realize fully automated high-precision DEM data production based on skew model data, and traditional algorithms are difficult to meet the production requirements of different terrains in large-scale urban market scenarios.
The deep learning model and CSF filtering algorithm are used to preprocess the tilt model data, perform semantic segmentation and ground point extraction, and set adaptive parameters in combination with terrain features to realize full automatic generation of DEM data.
It improves the identification accuracy and generation efficiency of DEM data, reduces manual intervention, and meets the rapid production needs of large-scale high-precision DEM data.
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Abstract
Citation Information
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