Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification

Deep learning models combining spectral and spatial features have been proven to be effective for hyperspectral image (HSI) classification. However, most spatial feature integration methods only consider a single input spatial scale regardless of various shapes and sizes of objects over the image pl...

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Detalles Bibliográficos
Autores principales: Li, Simin, Zhu, Xueyu, Bao, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480716/
https://www.ncbi.nlm.nih.gov/pubmed/30974816
http://dx.doi.org/10.3390/s19071714

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480716/
https://www.ncbi.nlm.nih.gov/pubmed/30974816
http://dx.doi.org/10.3390/s19071714

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