赵鹏程
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Personal Information
- Supervisor of Master's Candidates
- Name (Pinyin):Zhao Pengcheng
- Date of Birth:1993-09-05
- E-Mail:
- Date of Employment:2019-12-07
- Administrative Position:高级实验师
- Education Level:With Certificate of Graduation for Doctorate Study
- Business Address:武汉大学信息学部遥感信息工程学院（5号楼）315办公室
- Gender:Male
- Contact Information:+86 15972003670
- Status:Employed
- Alma Mater:武汉大学
- Teacher College:School of Remote Sensing and Information Engineering
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A FEATURE PRESERVING ALGORITHM FOR POINT CLOUD SIMPLIFICATION BASED ON HIERARCHICAL CLUSTERING
- Date of Publication:2025-01-07
- Hits:
DOI number:
10.1109/igarss.2016.7730457Affiliation of Author(s):
School of Remote Sensing and Information Engineering, Wuhan University, ChinaJournal:
2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)Key Words:
point cloud,simplification,surface variation,hierarchical clustering,feature pointsAbstract:
The efficiency and accuracy loss are the key issues for the point cloud simplification. In this paper, a feature preserving algorithm is proposed for point cloud simplification based on hierarchical clustering with the surface feature description. The surface variation is presented as the main criterion for the efficient hierarchical clustering method to simplify the mass and dense point cloud fast, meanwhile we retain the feature points to ensure a small accuracy loss. The experiment results show that the proposed method is efficient and has a good effect to maintain the features as the same degree of simplification.Co-author:
Qingwu,Hu,Zhao, Yue,Wang, PengchengIndexed by:
会议论文Discipline:
EngineeringDocument Type:
CPage Number:
5581-5584ISSN No.:
2153-6996Translation or Not:
noCN No.:
WOS:000388114605131Date of Publication:
2016-07-10