A method for collecting and processing unmanned aerial vehicle measurement data based on machine learning
By using the characteristic information of sampling points and interpolation points in UAV measurement data acquisition for adaptive bandwidth adjustment, the problems of uneven data and noise interference in UAV measurement data acquisition are solved, enabling accurate interpolation and noise suppression in complex terrain and improving the construction accuracy of digital elevation models.
CN122408696APending Publication Date: 2026-07-17WUHAN KEDAO GEOGRAPHICAL INFORMATION ENGIREERING CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WUHAN KEDAO GEOGRAPHICAL INFORMATION ENGIREERING CO LTD
- Filing Date
- 2026-04-20
- Publication Date
- 2026-07-17
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Figure CN122408696A_ABST
Abstract
本发明涉及数据采集处理技术领域，具体涉及一种基于机器学习的无人机测量数据采集处理方法。方法包括：获取各待插值点对应的地形微观结构复杂性因子，基于各待插值点的预设半径邻域内的采样点数量、采样点实测高程变异系数、采样点的实测高程与拟合高程之间的差异以及各待插值点与邻域采样点之间的最远距离，得到各待插值点对应的采集‑质量综合因子，基于地形微观结构复杂性因子和采集‑质量综合因子对所述基础带宽进行自适应调整，得到各待插值点的最终带宽，基于各待插值点的最终带宽，对测绘区域内的待插值点执行各向同性插值，输出各待插值点的高程插值结果。且本发明能够提升插值效果。
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