A Robust Context-Based Deep Learning Approach for Highly Imbalanced Hyperspectral Classification

Hyperspectral imaging is an area of active research with many applications in remote sensing, mineral exploration, and environmental monitoring. Deep learning and, in particular, convolution-based approaches are the current state-of-the-art classification models. However, in the presence of noisy hy...

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Detalles Bibliográficos
Autores principales: Ramirez Rochac, Juan F., Zhang, Nian, Thompson, Lara A., Deksissa, Tolessa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8279854/
https://www.ncbi.nlm.nih.gov/pubmed/34306058
http://dx.doi.org/10.1155/2021/9923491

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8279854/
https://www.ncbi.nlm.nih.gov/pubmed/34306058
http://dx.doi.org/10.1155/2021/9923491

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