Fusion of Hyperspectral CASI and Airborne LiDAR Data for Ground Object Classification through Residual Network

Modern satellite and aerial imagery outcomes exhibit increasingly complex types of ground objects with continuous developments and changes in land resources. Single remote-sensing modality is not sufficient for the accurate and satisfactory extraction and classification of ground objects. Hyperspect...

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Detalles Bibliográficos
Autores principales: Chang, Zhanyuan, Yu, Huiling, Zhang, Yizhuo, Wang, Keqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412085/
https://www.ncbi.nlm.nih.gov/pubmed/32708693
http://dx.doi.org/10.3390/s20143961

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412085/
https://www.ncbi.nlm.nih.gov/pubmed/32708693
http://dx.doi.org/10.3390/s20143961

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