Identification of Building Damage from UAV-Based Photogrammetric Point Clouds Using Supervoxel Segmentation and Latent Dirichlet Allocation Model

Accurate assessment of building damage is very important for disaster response and rescue. Traditional damage detection techniques using 2D features at a single observing angle cannot objectively and accurately reflect the structural damage conditions. With the development of unmanned aerial vehicle...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Chaoxian, Sui, Haigang, Huang, Lihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698038/
https://www.ncbi.nlm.nih.gov/pubmed/33203060
http://dx.doi.org/10.3390/s20226499

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698038/
https://www.ncbi.nlm.nih.gov/pubmed/33203060
http://dx.doi.org/10.3390/s20226499

Ejemplares similares