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Aerial Point Cloud Classification Using an Alternative Approach for the Dynamic Computation of K-Nearest Neighbors Cover

Aerial Point Cloud Classification Using an Alternative Approach for the Dynamic Computation of K-Nearest Neighbors

Journal of Applied Engineering Sciences
Volume 10 (2020): Issue 2 (December 2020)
By: Iuliana Maria Pârvu,  E. Özdemir and  F. Remondino  
Open Access
|Nov 2020

Authors

Iuliana Maria Pârvu

iuliana-maria.bina@phd.utcb.ro

National Center of Cartography, Cartography and Photogrammetry Department, 012101 / Doctoral School, Technical University of Civil Engineering of Bucharest, Romania

E. Özdemir

remondino@fbk.eu

3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy
Space Center, Skolkovo Institute of Technology (SKOLTECH), Moscow

F. Remondino

emre.ozdemir@skoltech.ru

Space Center, Skolkovo Institute of Technology (SKOLTECH), Moscow
DOI: https://doi.org/10.2478/jaes-2020-0023 | Journal eISSN: 2284-7197
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Language: English
Page range: 155 - 162
Submitted on: May 30, 2020
|
Accepted on: Jul 10, 2020
|
Published on: Nov 11, 2020
Published by: University of Oradea, Civil Engineering and Architecture Faculty
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
point cloud,
classification,
region growing,
eigenfeature,
neighbourhood
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other,
Electrical engineering,
Energy engineering,
Geosciences,
Geodesy,
Geosciences, other

© 2020 Iuliana Maria Pârvu, E. Özdemir, F. Remondino, published by University of Oradea, Civil Engineering and Architecture Faculty
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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