Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative Study

Efficiently implementing remote sensing image classification with high spatial resolution imagery can provide significant value in land use and land cover (LULC) classification. The new advances in remote sensing and deep learning technologies have facilitated the extraction of spatiotemporal inform...

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Detalles Bibliográficos
Autores principales: Naushad, Raoof, Kaur, Tarunpreet, Ghaderpour, Ebrahim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662416/
https://www.ncbi.nlm.nih.gov/pubmed/34884087
http://dx.doi.org/10.3390/s21238083

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662416/
https://www.ncbi.nlm.nih.gov/pubmed/34884087
http://dx.doi.org/10.3390/s21238083

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