Spatial–Spectral Feature Refinement for Hyperspectral Image Classification Based on Attention-Dense 3D-2D-CNN

Spatial–Spectral Feature Refinement for Hyperspectral Image Classification Based on Attention-Dense 3D-2D-CNN

Convolutional neural networks provide an ideal solution for hyperspectral image (HSI) classification. However, the classification effect is not satisfactory when limited training samples are available. Focused on “small sample” hyperspectral classification, we proposed a novel 3D-2D-convolutional ne...

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Bibliographic Details
Main Authors: Jin Zhang, Fengyuan Wei, Fan Feng, Chunyang Wang
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
hyperspectral image classification
deep learning
3D-2D-CNN
residual connection
attention mechanism
spatial–spectral feature refinement
Online Access:https://www.mdpi.com/1424-8220/20/18/5191

Internet

https://www.mdpi.com/1424-8220/20/18/5191

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