Learning Deep Hierarchical Spatial–Spectral Features for Hyperspectral Image Classification Based on Residual 3D-2D CNN

Every pixel in a hyperspectral image contains detailed spectral information in hundreds of narrow bands captured by hyperspectral sensors. Pixel-wise classification of a hyperspectral image is the cornerstone of various hyperspectral applications. Nowadays, deep learning models represented by the co...

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Detalles Bibliográficos
Autores principales: Feng, Fan, Wang, Shuangting, Wang, Chunyang, Zhang, Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928880/
https://www.ncbi.nlm.nih.gov/pubmed/31795511
http://dx.doi.org/10.3390/s19235276

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928880/
https://www.ncbi.nlm.nih.gov/pubmed/31795511
http://dx.doi.org/10.3390/s19235276

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