Abstract： A progressive linear prediction filtering algorithm is proposed for extracting DEM from LiDAR data. Some processes are inserted in the ordinary linear prediction algorithm, such as gross error detection, initial value selection, landform analysis, and smoothness detection. The authors used this algorithm to process 6 datasets published by ISPRS as standard filtering test data. The results show that the improvement in the traditional methods can increase the precision of DEM.
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2011, Vol. 23 
