Study of matching the lidar data set on overlapping flightstrips

Abstract

The paper describes three kinds of popular matching algorithms of overlapping strips of LiDAR, and introduces the matching algorithm of TerraMatch. The processing of matching overlapping strips can be outlined as the following steps. Firstly, using TerraScan module to preprocess raw LiDAR data of the single flight strip. It can classify low points and ground feature separately for each flight line. Then, read these ground feature points to TerraMatch module. TerraMatch uses these ground feature points to match overlapping laser data. After many times iteration, the iteration continues until roll correction value, pitch correction value and heading correction value and other parameter correction values all are smaller than a preset threshold. The parameters of the last iteration act as optimal parameters. In order to verify the TerraMatch's functions, we used actual data set to assess the experimental result. Lastly, a conclusion is drawn that the algorithm of TerraMatch can effectively reduce or remove the discrepancies of LiDAR data set between overlapping strips and is worthly promoting.