Multiscale Supervised Classification of Point Clouds with Urban and Forest Applications

We analyze the utility of multiscale supervised classification algorithms for object detection and extraction from laser scanning or photogrammetric point clouds. Only the geometric information (the point coordinates) was considered, thus making the method independent of the systems used to collect...

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Detalles Bibliográficos
Autores principales: Cabo, Carlos, Ordóñez, Celestino, Sáchez-Lasheras, Fernando, Roca-Pardiñas, Javier, de Cos-Juez, Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832418/
https://www.ncbi.nlm.nih.gov/pubmed/31627468
http://dx.doi.org/10.3390/s19204523

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832418/
https://www.ncbi.nlm.nih.gov/pubmed/31627468
http://dx.doi.org/10.3390/s19204523

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