Airborne LiDAR Point Cloud Classification Based on Multiple-Entity Eigenvector Fusion

Hu Haiying; Hui Zhenyang; Li Na

doi:10.3788/CJL202047.0810002

Chinese Journal of Lasers, Volume. 47, Issue 8, 810002(2020)

Airborne LiDAR Point Cloud Classification Based on Multiple-Entity Eigenvector Fusion

Hu Haiying^1,2, Hui Zhenyang^1,2、*, and Li Na^1,2

Author Affiliations

¹Key laboratory of Digital Land and Resources, East China University of Technology, Nanchang, Jiangxi 330013, China

²Faculty of Geomatics, East China University of Technology, Nanchang, Jiangxi 330013, China

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Hu Haiying, Hui Zhenyang, Li Na. Airborne LiDAR Point Cloud Classification Based on Multiple-Entity Eigenvector Fusion[J]. Chinese Journal of Lasers, 2020, 47(8): 810002

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Paper Information

Category: remote sensing and sensor

Received: Nov. 20, 2019

Accepted: --

Published Online: Aug. 17, 2020

The Author Email: Hui Zhenyang (huizhenyang2008@163.com)

DOI:10.3788/CJL202047.0810002

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology