ALS Point Cloud Classification by Integrating an Improved Fully Convolutional Network into Transfer Learning with Multi-Scale and Multi-View Deep Features

Airborne laser scanning (ALS) point cloud has been widely used in various fields, for it can acquire three-dimensional data with a high accuracy on a large scale. However, due to the fact that ALS data are discretely, irregularly distributed and contain noise, it is still a challenge to accurately i...

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Detalles Bibliográficos
Autores principales: Lei, Xiangda, Wang, Hongtao, Wang, Cheng, Zhao, Zongze, Miao, Jianqi, Tian, Puguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730625/
https://www.ncbi.nlm.nih.gov/pubmed/33291256
http://dx.doi.org/10.3390/s20236969

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730625/
https://www.ncbi.nlm.nih.gov/pubmed/33291256
http://dx.doi.org/10.3390/s20236969

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