Bin Yang
Orcid: 0000-0002-9762-0788Affiliations:
- Fudan University, Department of Electronic Engineering, Key Laboratory for Information Science of Electromagnetic Waves, Shanghai, China
- South China Normal University, School of Geographical Science, Guangzhou, China (former)
  According to our database1,
  Bin Yang
  authored at least 30 papers
  between 2016 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
- 
    on orcid.org
On csauthors.net:
Bibliography
  2025
A Global-to-Local Spectral-Spatial Attention-Based Nonlinearity and Scaled Endmember Variability Parametric Learning Network for Unmixing.
    
  
    IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
    
  
  2024
EMLM-Net: An Extended Multilinear Mixing Model-Inspired Dual-Stream Network for Unsupervised Nonlinear Hyperspectral Unmixing.
    
  
    IEEE Trans. Geosci. Remote. Sens., 2024
    
  
Spectral Variability Augmented Multilinear Mixing Model for Hyperspectral Nonlinear Unmixing.
    
  
    IEEE Geosci. Remote. Sens. Lett., 2024
    
  
  2023
Unsupervised Nonlinear Hyperspectral Unmixing with Reduced Spectral Variability via Superpixel-Based Fisher Transformation.
    
  
    Remote. Sens., October, 2023
    
  
A Coarse-to-Fine Scheme for Unsupervised Nonlinear Hyperspectral Unmixing Based on an Extended Multilinear Mixing Model.
    
  
    IEEE Trans. Geosci. Remote. Sens., 2023
    
  
Graph Attention Convolutional Autoencoder-Based Unsupervised Nonlinear Unmixing for Hyperspectral Images.
    
  
    IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
    
  
  2022
Supervised Nonlinear Hyperspectral Unmixing With Automatic Shadow Compensation Using Multiswarm Particle Swarm Optimization.
    
  
    IEEE Trans. Geosci. Remote. Sens., 2022
    
  
Spectral-Spatial Reweighted Robust Nonlinear Unmixing for Hyperspectral Images Based on an Extended Multilinear Mixing Model.
    
  
    IEEE Trans. Geosci. Remote. Sens., 2022
    
  
Nonlinear Unmixing for Hyperspectral Images via Kernel-Transformed Bilinear Mixing Models.
    
  
    IEEE Trans. Geosci. Remote. Sens., 2022
    
  
Multilevel Reweighted Sparse Hyperspectral Unmixing Using Superpixel Segmentation and Particle Swarm Optimization.
    
  
    IEEE Geosci. Remote. Sens. Lett., 2022
    
  
    Displays, 2022
    
  
Kernel-Based Decomposition Model with Total Variation and Sparsity Regularizations VIR Union Dictionary for Nonlinear Hyperspectral Anomaly Detection.
    
  
    Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
    
  
Robust Nonlinear Unmixing for Hyperspectral Images Based on an Extended Multilinear Mixing Model.
    
  
    Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
    
  
  2021
Sparse Unmixing for Hyperspectral Imagery via Comprehensive-Learning-Based Particle Swarm Optimization.
    
  
    IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
    
  
  2020
Nonlinear Endmember Identification for Hyperspectral Imagery via Hyperpath-Based Simplex Growing and Fuzzy Assessment.
    
  
    IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
    
  
    Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
    
  
    Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
    
  
A Novel General Semisupervised Deep Learning Framework for Classification and Regression with Remote Sensing Images.
    
  
    Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
    
  
  2018
Nonlinear Hyperspectral Unmixing Based on Geometric Characteristics of Bilinear Mixture Models.
    
  
    IEEE Trans. Geosci. Remote. Sens., 2018
    
  
Band-Wise Nonlinear Unmixing for Hyperspectral Imagery Using an Extended Multilinear Mixing Model.
    
  
    IEEE Trans. Geosci. Remote. Sens., 2018
    
  
Unsupervised Nonlinear Hyperspectral Unmixing Based on Bilinear Mixture Models via Geometric Projection and Constrained Nonnegative Matrix Factorization.
    
  
    Remote. Sens., 2018
    
  
A Preprocessing Method for Hyperspectral Target Detection Based on Tensor Principal Component Analysis.
    
  
    Remote. Sens., 2018
    
  
    Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
    
  
Hyperspectral Target Detection: a Preprocessing Method Based on Tensor Principal Component Analysis.
    
  
    Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
    
  
  2017
Constrained Nonnegative Matrix Factorization Based on Particle Swarm Optimization for Hyperspectral Unmixing.
    
  
    IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
    
  
Nonnegative matrix factorization with constraints on endmember and abundance for hyperspectral unmixing.
    
  
    Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
    
  
    Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
    
  
Bilinear mixture models based unsupervised nonlinear unmixing using constrained nonnegative matrix factorization.
    
  
    Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
    
  
Change detection in hyperspectral imagery based on spectrally-spatially regularized low-rank matrix decomposition.
    
  
    Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
    
  
  2016
A New Algorithm for Bilinear Spectral Unmixing of Hyperspectral Images Using Particle Swarm Optimization.
    
  
    IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016