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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B2-2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-229-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-229-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
30 May 2022
| 30 May 2022
ROBUST AND EFFECTIVE AIRBORNE LIDAR POINT CLOUD CLASSIFICATION BASED ON HYBRID FEATURES
L. F. Liao
Research Institute for Smart Cities, School of Architecture and Urban Planning & Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen, P.R. China
S. J. Tang
Research Institute for Smart Cities, School of Architecture and Urban Planning & Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen, P.R. China
J. H. Liao
Research Institute for Smart Cities, School of Architecture and Urban Planning & Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen, P.R. China
W. X. Wang
Research Institute for Smart Cities, School of Architecture and Urban Planning & Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen, P.R. China
X. M. Li
Research Institute for Smart Cities, School of Architecture and Urban Planning & Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen, P.R. China
R. Z. Guo
Research Institute for Smart Cities, School of Architecture and Urban Planning & Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen University, Shenzhen, P.R. China
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