Bin Yang

Orcid: 0000-0002-9762-0788

Affiliations:
  • 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 28 papers between 2016 and 2024.

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Bibliography

2024
EMLM-Net: An Extended Multilinear Mixing Model-Inspired Dual-Stream Network for Unsupervised Nonlinear Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 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

Multiscale spectral-spatial feature learning for hyperspectral image classification.
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

An Improved Bilinear Mixture Model Considering Adjacency and Shade Effects.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

A Regularized Tensor Network for Cyclone Wind Speed Estimation.
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

Nonlinear Hyperspectral Unmixing Via Modelling Band Dependent Nonlinearity.
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

Abundance estimation for hyperspectral images based on bilinear mixture models.
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


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