Hyperspectral Image Classification Via Multi-Scale Residual Attention Network
Author:
Affiliation:
1. Xi’an University of Posts and Telecommunications,School of Communications and Information Engineering,Xi’an,China,710121
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282167.pdf?arnumber=10282167
Reference11 articles.
1. Improving SVM classification accuracy using a hierarchical approach for hyperspectral images
2. Deep supervised learning for hyperspectral data classification through convolutional neural networks
3. Multi-scale 3D deep convolutional neural network for hyperspectral image classification
4. HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification
5. Residual Spectral–Spatial Attention Network for Hyperspectral Image Classification
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