A method and system for adjusting the track of airborne LiDAR depth sounding without control conditions
CN120522675BActive Publication Date: 2026-08-28SHANDONG ELECTRIC POWER ENG CONSULTING INST CORP
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Patent Information
- Application Number
- CN202510395809.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-31
- Publication Date
- 2026-08-28
- Estimated Expiration
- 2045-03-31
AI Technical Summary
Technical Problem
目前主要方法有:多项式的高斯-马尔柯夫平差法,但该方法不具有适用性、航带需单独求解;DEM-ICP+基于图的优化法,该方法具有鲁棒性,但依赖平坦地形特征
Benefits of technology
[0038]本发明提取航带间重叠区域,限定点面匹配范围;通过构建三角网与相邻航带点匹配确定近似同名点,建立航带间的联系,构建区域网航带平差模型,求解航带最佳变换矩阵;利用多项式曲面表达复杂地形,并根据点面匹配距离和最小求解多项式系数,计算各点改正值予以改正。本发明以机载LiDAR测深数据为数据基础,采用本发明的航带平差模型处理后,可有效提高机载LiDAR测深数据内外符合精度,为无控制条件下优化机载LiDAR测深数据质量提供有效的解决方案。
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Figure CN120522675B_ABST
Abstract
The application belongs to the technical field of depth measurement, and provides a flight strip adjustment method and system for airborne LiDAR depth measurement without control conditions, which has the technical scheme of extracting an overlapping area between flight strips, limiting a point-surface matching range; determining approximate homonymic points by constructing a triangular net and point matching of adjacent flight strips, establishing a connection between the flight strips, optimizing the matching by using a RANSAC algorithm, constructing a regional net flight strip adjustment model, and solving a best transformation matrix of the flight strip; expressing a complex terrain by using a polynomial curved surface, calculating correction values of each point according to a point-surface matching distance and minimum solved polynomial coefficients, and correcting the correction values. The application takes airborne LiDAR depth measurement data as a data basis, and after the flight strip adjustment model of the application is used for processing, the internal and external coincidence accuracy of the airborne LiDAR depth measurement data can be effectively improved, and an effective solution is provided for optimizing the quality of the airborne LiDAR depth measurement data without control conditions.
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