Automated fusion of forest airborne and terrestrial point clouds through canopy density analysis-Reference-Cited by-同舟云学术

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Automated fusion of forest airborne and terrestrial point clouds through canopy density analysis

Published:2019-10 Issue: Volume:156 Page:94-107
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Dai Wenxia,Yang Bisheng^ORCID,Liang Xinlian^ORCID,Dong Zhen,Huang Ronggang,Wang Yunsheng^ORCID,Li Wuyan

Funder

National Natural Science Foundation of China

National Science Fund for Distinguished Young Scholars of China

Academy of Finland project “Centre of Excellence in Laser Scanning Research

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference45 articles.

1. Association-matrix-based sample consensus approach for automated registration of terrestrial laser scans using linear features;Al-Durgham;Photogramm. Eng. Remote Sens.,2014

2. Least-squares fitting of two 3-D point sets;Arun;IEEE Trans. Pattern Anal. Mach. Intell.,1987

3. A method for registration of 3-D shapes;Besl;IEEE Trans. Pattern Anal. Mach. Intell.,1992

4. Mean shift, mode seeking, and clustering;Cheng;IEEE Trans. Pattern Anal. Mach. Intell.,1995

5. Mean shift: a robust approach toward feature space analysis;Comaniciu;IEEE Trans. Pattern Anal. Mach. Intell.,2002

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4. CPS: A novel canopy profile skyline descriptor for UAV and terrestrial-based forest point cloud registration;International Journal of Applied Earth Observation and Geoinformation;2024-06

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