A Dual-Branch Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

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A Dual-Branch Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification

Published:2023 Issue: Volume:61 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Cheng Chunbo¹^ORCID,Zhang Liming²^ORCID,Li Hong³^ORCID,Cui Wenjing¹^ORCID

Affiliation:

1. School of Mathematics and Physics, Hubei Polytechnic University, Huangshi, China

2. Faculty of Science and Technology, University of Macau, Macau, China

3. School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Hubei Polytechnic University

Science and Technology Development Fund of Macau SAR

Multi-Year Research Grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10226226.pdf?arnumber=10226226

Reference34 articles.

1. HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification

2. Self-Supervised Learning With a Dual-Branch ResNet for Hyperspectral Image Classification

3. A Two-Stage Convolutional Sparse Coding Network for Hyperspectral Image Classification

4. Two-Stream Deep Architecture for Hyperspectral Image Classification

5. Deep Residual Learning for Image Recognition

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hyperspherical Structural-Aware Distillation Enhanced Spatial–Spectral Bidirectional Interaction Network for Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2024

2. A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2024

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