Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning

Urban areas feature complex and heterogeneous land covers which create challenging issues for tree species classification. The increased availability of high spatial resolution multispectral satellite imagery and LiDAR datasets combined with the recent evolution of deep learning within remote sensin...

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Detalles Bibliográficos
Autores principales: Hartling, Sean, Sagan, Vasit, Sidike, Paheding, Maimaitijiang, Maitiniyazi, Carron, Joshua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471063/
https://www.ncbi.nlm.nih.gov/pubmed/30875732
http://dx.doi.org/10.3390/s19061284

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471063/
https://www.ncbi.nlm.nih.gov/pubmed/30875732
http://dx.doi.org/10.3390/s19061284

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