Robust Spatial–Spectral Squeeze–Excitation AdaBound Dense Network (SE-AB-Densenet) for Hyperspectral Image Classification

Increasing importance in the field of artificial intelligence has led to huge progress in remote sensing. Deep learning approaches have made tremendous progress in hyperspectral image (HSI) classification. However, the complexity in classifying the HSI data using a common convolutional neural networ...

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Detalles Bibliográficos
Autores principales: Munishamaiaha, Kavitha, Rajagopal, Gayathri, Venkatesan, Dhilip Kumar, Arif, Muhammad, Vicoveanu, Dragos, Chiuchisan, Iuliana, Izdrui, Diana, Geman, Oana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105163/
https://www.ncbi.nlm.nih.gov/pubmed/35590921
http://dx.doi.org/10.3390/s22093229

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105163/
https://www.ncbi.nlm.nih.gov/pubmed/35590921
http://dx.doi.org/10.3390/s22093229

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