A filtering method for LiDAR cloud points in urban areas based on serial morphological operators

作者：Sun Meiling^*; Li Yongshu; Chen Qiang; Cai Guolin

来源：Journal of Southwest Jiaotong University, 2013, 48(6): 1038-1044.

DOI：10.3969/j.issn.0258-2724.2013.06.011

• Automatic classification
• Connectivity analysis
• Morphological filtering
• Morphological gradient
• Morphological opening
• Morphological operator
• Morphological reconstruction
• Top-hat transformation

To improve the accuracy of single morphological operator and automatic classification in LiDAR filtering, a new LiDAR filtering method based on serial morphological operators was presented. In view of the characteristics of morphological operators and the features of different objects in LiDAR point data, first morphological opening operator and white top-hat transformation were applied to LiDAR points with small window size for filtering low outliers and small objects (such as tree, car and electric-power line etc). Then morphological gradient was used to detect building edges. Finally, connectivity analysis and binary morphological reconstruction were applied for removing large buildings. As a result, ground points were retained and non-ground points were removed. The experimental results for nine different complexity urban data provided by ISPRS show that the average values of type I, type II and total errors are 6.90%, 3.33% and 5.44%. Compared with traditional filter methods, this method improves the effects of classification and automatic recognition.

• 出版日期2013
• 单位西南交通大学