Land-Use and Land-Cover Classification in Semi-Arid Areas from Medium-Resolution Remote-Sensing Imagery: A Deep Learning Approach

Detailed Land-Use and Land-Cover (LULC) information is of pivotal importance in, e.g., urban/rural planning, disaster management, and climate change adaptation. Recently, Deep Learning (DL) has emerged as a paradigm shift for LULC classification. To date, little research has focused on using DL meth...

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Detalles Bibliográficos
Autores principales: Ali, Kamran, Johnson, Brian A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695710/
https://www.ncbi.nlm.nih.gov/pubmed/36433346
http://dx.doi.org/10.3390/s22228750

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695710/
https://www.ncbi.nlm.nih.gov/pubmed/36433346
http://dx.doi.org/10.3390/s22228750

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