Yuxiang Zhang
Orcid: 0000-0002-2913-3515Affiliations:
- China University of Geosciences, School of Geophysics and Geomatics, Wuhan, China
- Wuhan University, China (PhD 2016)
According to our database1,
Yuxiang Zhang
authored at least 45 papers
between 2013 and 2025.
Collaborative distances:
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Bibliography
2025
Domain Alignment Dynamic Spectral and Spatial Feature Fusion for Hyperspectral Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
2024
Cross-Task Meta-Learning Network With Graph-Enhanced Attention Module for Hyperspectral Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2024
A Multimodal Feature Fusion Network for Building Extraction With Very High-Resolution Remote Sensing Image and LiDAR Data.
IEEE Trans. Geosci. Remote. Sens., 2024
Confidence-Driven Region Mixing for Optical Remote Sensing Domain Adaptation Object Detection.
IEEE Trans. Geosci. Remote. Sens., 2024
Generative Self-Supervised Learning With Spectral-Spatial Masking for Hyperspectral Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2024
Spatial-Spectral Contrastive Self-Supervised Learning With Dual Path Networks for Hyperspectral Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2024
Unsupervised Multiview Graph Contrastive Feature Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024
Multiorder Graph Convolutional Network With Channel Attention for Hyperspectral Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
DSFC-AE: A New Hyperspectral Unmixing Method Based on Deep Shared Fully Connected Autoencoder.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
Self-Supervised Pretraining via Multimodality Images With Transformer for Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2023
A Siamese Network Based on Multiple Attention and Multilayer Transformers for Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2023
A Lightweight Convolutional Neural Network Based on Joint Correlation Distance Constraints and Density Peak Clustering for Hyperspectral Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2023
Multiview Learning for Impervious Surface Mapping Using High-Resolution Multispectral Imagery and LiDAR Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
2022
A Fast Dynamic Graph Convolutional Network and CNN Parallel Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022
SSMD: Dimensionality Reduction and Classification of Hyperspectral Images Based on Spatial-Spectral Manifold Distance Metric Learning.
IEEE Trans. Geosci. Remote. Sens., 2022
Superpixel-Based Collaborative and Low-Rank Regularization for Sparse Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2022
Symmetric Information-Theoretic Metric Learning for Target Detection in Hyperspectral Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
A Siamese Network Based U-Net for Change Detection in High Resolution Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
IEEE Geosci. Remote. Sens. Lett., 2022
2021
Spectral-Spatial Weighted Kernel Manifold Embedded Distribution Alignment for Remote Sensing Image Classification.
IEEE Trans. Cybern., 2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Remote. Sens., 2021
2020
IEEE Geosci. Remote. Sens. Lett., 2020
Joint Sparse Representation and Multitask Learning for Hyperspectral Anomaly Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
A Kernel Background Purification Based Anomaly Target Detection Algorithm for Hyperspectral Imagery.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Hyperspectral image target detection via integrated background suppression with adaptive weight selection.
Neurocomputing, 2018
A Novel Endmember Extraction Method Using Sparse Component Analysis for Hyperspectral Remote Sensing Imagery.
IEEE Access, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Hyperspectral Band Selection Based on Endmember Dissimilarity for Hyperspectral Unmixing.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Joint Sparse Representation and Multitask Learning for Hyperspectral Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2017
Hyperspectral Target Detection via Adaptive Joint Sparse Representation and Multi-Task Learning with Locality Information.
Remote. Sens., 2017
Independent Encoding Joint Sparse Representation and Multitask Learning for Hyperspectral Target Detection.
IEEE Geosci. Remote. Sens. Lett., 2017
Spatially Adaptive Sparse Representation for Target Detection in Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2017
2016
Beyond the Sparsity-Based Target Detector: A Hybrid Sparsity and Statistics-Based Detector for Hyperspectral Images.
IEEE Trans. Image Process., 2016
A Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2016
A quantum-behaved particle swarm optimization for hyperspectral endmember extraction.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
A Sparse Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2015
A Nonlinear Sparse Representation-Based Binary Hypothesis Model for Hyperspectral Target Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Signal Process., 2015
一种基于背景自学习的高光谱图像生物信息提取方法 (Background Self-learning Framework for Bio Information Extraction from Hyperspectral Images).
计算机科学, 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
IEEE Geosci. Remote. Sens. Lett., 2014
2013
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013