Classification of Power Facility Point Clouds from Unmanned Aerial Vehicles Based on Adaboost and Topological Constraints

Machine learning algorithms can be well suited to LiDAR point cloud classification, but when they are applied to the point cloud classification of power facilities, many problems such as a large number of computational features and low computational efficiency can be encountered. To solve these prob...

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Detalles Bibliográficos
Autores principales: Liu, Yuxuan, Aleksandrov, Mitko, Zlatanova, Sisi, Zhang, Junjun, Mo, Fan, Chen, Xiaojian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864668/
https://www.ncbi.nlm.nih.gov/pubmed/31671626
http://dx.doi.org/10.3390/s19214717

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864668/
https://www.ncbi.nlm.nih.gov/pubmed/31671626
http://dx.doi.org/10.3390/s19214717

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