Zhixiang Xue

Orcid: 0000-0003-2463-4342

According to our database1, Zhixiang Xue authored at least 12 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2023
Hyperspectral Meets Optical Flow: Spectral Flow Extraction for Hyperspectral Image Classification.
IEEE Trans. Image Process., 2023

Exploiting Discriminative Advantage of Spectrum for Hyperspectral Image Classification: SpectralFormer Enhanced by Spectrum Motion Feature.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
Deep Hierarchical Vision Transformer for Hyperspectral and LiDAR Data Classification.
IEEE Trans. Image Process., 2022

Self-Supervised Feature Learning for Multimodal Remote Sensing Image Land Cover Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Multiscale Deep Learning Network With Self-Calibrated Convolution for Hyperspectral and LiDAR Data Collaborative Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Self-Supervised Feature Representation and Few-Shot Land Cover Classification of Multimodal Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Hyperspectral image classification with deep 3D capsule network and Markov random field.
IET Image Process., 2022

Self-Supervised Feature Learning and Few-Shot Land Cover Classification for Cross-Modal Remote Sensing Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
HResNetAM: Hierarchical Residual Network With Attention Mechanism for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2020
Semi-supervised convolutional generative adversarial network for hyperspectral image classification.
IET Image Process., 2020

2016
Hyperspectral image tensor feature extraction based on fusion of multiple spectral-spatial features.
Proceedings of the 2016 International Conference on Intelligent Information Processing, 2016

Noise reduction of hyperspectral imagery based on hypergraph laplacian regularized low-rank representation.
Proceedings of the 2016 International Conference on Intelligent Information Processing, 2016


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