Research on the Matching Method between Drone Images and Laser Point Cloud Data
The fusion of multi-source data has strong practicality and can compensate for the shortcomings of a single data source.Laser point cloud data has real three-dimensional coordinate information,but it lacks true color RGB information,while drone images have rich RGB texture information.Integrating the two has strong practical value.However,the two belong to non homologous data,which poses certain difficulties in fusion.To address this issue,3D laser point cloud data is converted into a 2D depth map based on the pinhole imaging principle.Then,a matching method based on SURF features is used to match the point cloud depth map with the drone image,achieving the matching of the two types of heterogeneous data.The experimental results show that this method is relatively reliable and can provide reference for the fusion of two types of data.
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