Moving Surface Filtering Algorithm Based on Multilevel Seed Point Optimization

Lei Zhu; Xingsheng Deng; Chengbin Xing; Kang Xu

doi:10.3788/LOP57.172801

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 17 >Page 172801 > Article

Laser & Optoelectronics Progress
Vol. 57, Issue 17, 172801 (2020)

Moving Surface Filtering Algorithm Based on Multilevel Seed Point Optimization

Lei Zhu^**, Xingsheng Deng^*, Chengbin Xing, and Kang Xu

Author Affiliations

Key Laboratory of Highway Engineering of Ministry of Education, Changsha University of Science and Technology, Changsha, Hunan 410114, China

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DOI: 10.3788/LOP57.172801 Cite this Article Set citation alerts

Lei Zhu, Xingsheng Deng, Chengbin Xing, Kang Xu. Moving Surface Filtering Algorithm Based on Multilevel Seed Point Optimization[J]. Laser & Optoelectronics Progress, 2020, 57(17): 172801 Copy Citation Text

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Abstract

Results

show that the proposed method exhibits high accuracy and strong adaptability.

Keywords

adaptive height difference threshold filtering moving surface multi-level seed points radar point cloud remote sensing

Lei Zhu, Xingsheng Deng, Chengbin Xing, Kang Xu. Moving Surface Filtering Algorithm Based on Multilevel Seed Point Optimization[J]. Laser & Optoelectronics Progress, 2020, 57(17): 172801

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