A Novel 2D-3D CNN with Spectral-Spatial Multi-Scale Feature Fusion for Hyperspectral Image Classification

A Novel 2D-3D CNN with Spectral-Spatial Multi-Scale Feature Fusion for Hyperspectral Image Classification

Multifarious hyperspectral image (HSI) classification methods based on convolutional neural networks (CNN) have been gradually proposed and achieve a promising classification performance. However, hyperspectral image classification still suffers from various challenges, including abundant redundant...

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Detalles Bibliográficos
Autores principales: Dongxu Liu, Guangliang Han, Peixun Liu, Hang Yang, Xinglong Sun, Qingqing Li, Jiajia Wu
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
hyperspectral image classification
2D-3D CNN
multi-scale features
multi-level features
attention module
Science
Q
Acceso en línea:https://doaj.org/article/e34cd057da4b4e6ebba8d152865c16d3
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https://doaj.org/article/e34cd057da4b4e6ebba8d152865c16d3

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