Abstract To improve the data classification effect of LiDAR points filtering, a method of morphological opening by reconstruction is proposed on the basis of traditional morphological filtering algorithms. In this method, marker image will be got from grid DSM by erosion firstly, then opening by reconstruction process is finished through geodesic dilating on the marker image repeatedly. Finally, nDSM is achieved by white tophat reconstruction to realize correct classification of ground objects and ground points. The experimental results with ISPRS data show that this approach is able to classify ground and nonground points effectively. Mean error of typeⅠis 351%, mean error of type Ⅱ is 7.20% ,and total error is 4.26%. Under the condition of error of typeⅡkeeps the same level, mean error of typeⅠand total error are minimum, compared to traditional filtering methods.
Sun Meiling,Li Yongshu,Chen Qiang et al. A FILTERING METHOD BASED ON MORPHOLOGICAL OPENING BY
RECONSTRUCTION ALGORITHM FOR LIDAR DATA[J]. jgg, 2014, 34(2): 90-94.
Sun Meiling,Li Yongshu,Chen Qiang et al. A FILTERING METHOD BASED ON MORPHOLOGICAL OPENING BY
RECONSTRUCTION ALGORITHM FOR LIDAR DATA[J]. jgg, 2014, 34(2): 90-94.
