Filtering of LiDAR data based on extending plane method

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.