面向复杂山地的机载LiDAR与无人机影像融合应用

本文针对LiDAR点云与无人机影像数据特征的优缺点，利用LiDAR点云与无人机DOM影像融合，将影像数据光谱信息赋给LiDAR点云数据，使其不仅具备精准的空间结构信息，还能得到清晰的纹理信息。为验证融合数据应用的可行性与数据提取的准确性，对融合前后的点云数据进行地面点提取与DEM构建。试验表明：将无人机影像的光谱信息赋给LiDAR点云数据，可以实现LiDAR点云数据从四维度表达到七维度的拓展，融合后点云数据具有清晰的纹理信息，地物类型判读更加容易，地面点分离完整；通过DEM模型的对比分析，融合后点云数据构建的DEM模型表达更加接近真实地表。研究结果为多源点云数据的深化应用提供了一定的技术方法支持作用。

Application of airborne LiDAR and UAV image fusion for complicated terrain

Aiming at the advantages and disadvantages of LiDAR point cloud and UAV image data, the LiDAR point cloud and DOM image of UAV are combined to transfer the spectral information of image data to LiDAR point cloud data, so that it not only has accurate spatial structure information, but also can obtain clear texture information. In order to verify the feasibility of fusion data application and the accuracy of data extraction, ground point extraction and DEM construction are carried out on point cloud data before and after fusion. The experiment shows that the LiDAR point cloud data can be extended from four dimensions to seven dimensions by transferring the spectral information of UAV image to the LiDAR point cloud data. After the fusion, the point cloud data has clear texture information, the ground object type is easier to interpret, and the ground points are separated completely. Through the comparative analysis of DEM model, the expression of DEM model constructed by integrating point cloud data is closer to the real surface. The research results provide some technical support for the further application of multi-source point cloud data.