一种基于三维空间点云数据的潮滩沙纹微地貌形态特征提取方法
By acquiring 3D point cloud data through drone photography and combining it with data processing technology, the problem of extracting the morphological features of tidal flat sand patterns has been solved, achieving efficient and accurate extraction of sand pattern morphological features and supporting tidal flat research.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HOHAI UNIV
- Filing Date
- 2023-11-30
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to efficiently and accurately extract the micro-geomorphological features of tidal flat sand ripples. They require high measurement accuracy and are expensive, and there is a lack of effective methods for extracting feature parameters.
Three-dimensional spatial point cloud data was acquired using drone photography. The influence of slope was eliminated by spatial grid interpolation, smoothing, and rotation matrix. Combined with fast Fourier transform analysis, the dominant wavelength and direction of sand ripples were extracted, and the frequency distribution of eigenvalues was calculated to obtain the micro-topographic features of sand ripples.
It achieves high-precision and low-cost extraction of micro-geomorphological features of tidal flat sand ripples, provides more refined data support, and can describe the distribution pattern and evolution trend of sand ripples, providing important basis for coastal tidal flat research.
Smart Images
Figure CN117635434B_ABST