Self-Supervised Learning With a Dual-Branch ResNet for Hyperspectral Image Classification
Author:
Affiliation:
1. School of Artificial Intelligence, Xidian University, Xi’an, China
Funder
National Natural Science Foundation of China
Aero-Science Fund
Science and technology plan project of Xi’an
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/9651998/09792470.pdf?arnumber=9792470
Reference24 articles.
1. Multiscale CNNs Ensemble Based Self-Learning for Hyperspectral Image Classification
2. Hyperspectral Image Classification Based on 3-D Separable ResNet and Transfer Learning
3. Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
4. Spectral-Spatial Unified Networks for Hyperspectral Image Classification
5. HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification
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