A 3D-2D Multibranch Feature Fusion and Dense Attention Network for Hyperspectral Image Classification

In recent years, hyperspectral image classification (HSI) has attracted considerable attention. Various methods based on convolution neural networks have achieved outstanding classification results. However, most of them exited the defects of underutilization of spectral-spatial features, redundant...

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Detalles Bibliográficos
Autores principales: Gao, Hongmin, Zhang, Yiyan, Zhang, Yunfei, Chen, Zhonghao, Li, Chenming, Zhou, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538274/
https://www.ncbi.nlm.nih.gov/pubmed/34683322
http://dx.doi.org/10.3390/mi12101271

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538274/
https://www.ncbi.nlm.nih.gov/pubmed/34683322
http://dx.doi.org/10.3390/mi12101271

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