A Novel Semi-Supervised Long-Tailed Learning Framework With Spatial Neighborhood Information for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

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A Novel Semi-Supervised Long-Tailed Learning Framework With Spatial Neighborhood Information for Hyperspectral Image Classification

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Feng Yining¹,Song Ruoxi²^ORCID,Ni Weihan³,Zhu Junheng³,Wang Xianghai⁴^ORCID

Affiliation:

1. School of Geography, Liaoning Normal University, Dalian, China

2. Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China

3. School of Computer and Information Technology, Liaoning Normal University, Dalian, China

4. School of Geography and the School of Computer and Information Technology, Liaoning Normal University, Dalian, China

Funder

National Natural Science Foundation of China

Project funded by China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10034784.pdf?arnumber=10034784

Reference20 articles.

1. Self-Supervised Divide-and-Conquer Generative Adversarial Network for Classification of Hyperspectral Images

2. Semisupervised Hypergraph Discriminant Learning for Dimensionality Reduction of Hyperspectral Image

3. Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification

4. Semisupervised Sparse Manifold Discriminative Analysis for Feature Extraction of Hyperspectral Images

5. Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification

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1. Understanding Satellite Image Processing and Black Box Models with Ante-Hoc and Post-Hoc Explanations in Deep Learning;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12

2. Multiscale graph convolution residual network for hyperspectral image classification;Journal of Applied Remote Sensing;2024-01-17

3. Semi-Supervised HyperMatch-Driven Cross Temporal and Spatial Interaction Transformer for Hyperspectral Change Detection;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

4. EME: Energy-Based Multiexpert Model for Long-Tailed Remote Sensing Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2024

5. Dual-Stream Class-Adaptive Network for Semi-Supervised Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2024

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