【摘要】 在对目前机载LiDAR数据后处理典型算法分析比较的基础上,针对机载LiDAR技术实际应用中对数据处理稳定性、智能性与适应性的更高需求,提出了一种快速稳健滤波方法,即平面延展方法。它利用单元平面的生长形成整个地表,相对常规方法增加了栅格化数据、填充空白数据及剔除错误冗余数据等操作,利用可靠的判定条件选择了基础点。采用平面延展方法对不同地形区域的LiDAR数据进行了滤波,将滤波前后的数据图像进行对比,采用三种客观误差指标评价处理质量。结果表明,平面延展方法稳健、可靠、效率高,能够在保证精度的情况下有效分离出非地面信息,在应用中有一定的优越性。更多还原

【Abstract】 On the basis of comparison and analysis of several typical airborne LiDAR data processing algorithms,a fast and robust method named extending plane method was presented to meet the increasing demand of processing algorithms′ stability,intellectuality and adaptability in the application of airborne LiDAR technology.The whole surface was built by plane units′ extending.Compared with traditional algorithms,this method added some operation which included rasterizing data,filling the blank data cells and removing incorrect and redundant data.Reliable restrictions were utilized when choosing basic points.LiDAR data from different areas were filtered by this method and the resulting figures were compared with the original figures.The quality of processing was evaluated with three kinds of error indexes.The results indicate that extending plane method is robust,reliable and efficient.It separates non-ground points from point clouds effectively with a high-precision and shows advantage applications to.更多还原