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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 24 papers between 2016 and 2024.

Collaborative distances:

Timeline

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On csauthors.net:

Bibliography

2024
EMLM-Net: An Extended Multilinear Mixing Model-Inspired Dual-Stream Network for Unsupervised Nonlinear Hyperspectral Unmixing.
[BibTeX]
[DOI]
Minglei Li
,
Bin Yang
,
Bin Wang
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Unsupervised Nonlinear Hyperspectral Unmixing with Reduced Spectral Variability via Superpixel-Based Fisher Transformation.
[BibTeX]
[DOI]
Zhangqiang Yin
,
Bin Yang
Remote. Sens., October, 2023

A Coarse-to-Fine Scheme for Unsupervised Nonlinear Hyperspectral Unmixing Based on an Extended Multilinear Mixing Model.
[BibTeX]
[DOI]
Minglei Li
,
Bin Yang
,
Bin Wang
IEEE Trans. Geosci. Remote. Sens., 2023

Graph Attention Convolutional Autoencoder-Based Unsupervised Nonlinear Unmixing for Hyperspectral Images.
[BibTeX]
[DOI]
Danni Jin
,
Bin Yang
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

2022
Supervised Nonlinear Hyperspectral Unmixing With Automatic Shadow Compensation Using Multiswarm Particle Swarm Optimization.
[BibTeX]
[DOI]
Bin Yang
IEEE Trans. Geosci. Remote. Sens., 2022

Spectral-Spatial Reweighted Robust Nonlinear Unmixing for Hyperspectral Images Based on an Extended Multilinear Mixing Model.
[BibTeX]
[DOI]
Minglei Li
,
Bin Yang
,
Bin Wang
IEEE Trans. Geosci. Remote. Sens., 2022

Nonlinear Unmixing for Hyperspectral Images via Kernel-Transformed Bilinear Mixing Models.
[BibTeX]
[DOI]
Jiafeng Gu
,
Bin Yang
,
Bin Wang
IEEE Trans. Geosci. Remote. Sens., 2022

Multilevel Reweighted Sparse Hyperspectral Unmixing Using Superpixel Segmentation and Particle Swarm Optimization.
[BibTeX]
[DOI]
Yapeng Miao
,
Bin Yang
IEEE Geosci. Remote. Sens. Lett., 2022

Multiscale spectral-spatial feature learning for hyperspectral image classification.
[BibTeX]
[DOI]
Muhammad Sohail
,
Zhao Chen
,
Bin Yang
,
Guohua Liu
Displays, 2022

2021
Sparse Unmixing for Hyperspectral Imagery via Comprehensive-Learning-Based Particle Swarm Optimization.
[BibTeX]
[DOI]
Yapeng Miao
,
Bin Yang
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.
[BibTeX]
[DOI]
Bin Yang
,
Zhao Chen
,
Bin Wang
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

A Regularized Tensor Network for Cyclone Wind Speed Estimation.
[BibTeX]
[DOI]
Zhao Chen
,
Xingxing Yu
,
Feng Zhou
,
Bin Yang
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2018
Nonlinear Hyperspectral Unmixing Based on Geometric Characteristics of Bilinear Mixture Models.
[BibTeX]
[DOI]
Bin Yang
,
Bin Wang
,
Zongmin Wu
IEEE Trans. Geosci. Remote. Sens., 2018

Band-Wise Nonlinear Unmixing for Hyperspectral Imagery Using an Extended Multilinear Mixing Model.
[BibTeX]
[DOI]
Bin Yang
,
Bin Wang
IEEE Trans. Geosci. Remote. Sens., 2018

Unsupervised Nonlinear Hyperspectral Unmixing Based on Bilinear Mixture Models via Geometric Projection and Constrained Nonnegative Matrix Factorization.
[BibTeX]
[DOI]
Bin Yang
,
Bin Wang
,
Zongmin Wu
Remote. Sens., 2018

A Preprocessing Method for Hyperspectral Target Detection Based on Tensor Principal Component Analysis.
[BibTeX]
[DOI]
Zehao Chen
,
Bin Yang
,
Bin Wang
Remote. Sens., 2018

Nonlinear Hyperspectral Unmixing Via Modelling Band Dependent Nonlinearity.
[BibTeX]
[DOI]
Bin Yang
,
Bin Wang
,
Bo Hu
,
Jian Qiu Zhang
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Hyperspectral Target Detection: a Preprocessing Method Based on Tensor Principal Component Analysis.
[BibTeX]
[DOI]
Zehao Chen
,
Bin Yang
,
Bin Wang
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.
[BibTeX]
[DOI]
Bin Yang
,
Wenfei Luo
,
Bin Wang
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Nonnegative matrix factorization with constraints on endmember and abundance for hyperspectral unmixing.
[BibTeX]
[DOI]
Tongxiang Zhi
,
Bin Yang
,
Zhao Chen
,
Bin Wang
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Abundance estimation for hyperspectral images based on bilinear mixture models.
[BibTeX]
[DOI]
Bin Yang
,
Bin Wang
,
Zongmin Wu
,
Qiyong Lu
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Bilinear mixture models based unsupervised nonlinear unmixing using constrained nonnegative matrix factorization.
[BibTeX]
[DOI]
Bin Yang
,
Bin Wang
,
Zongmin Wu
,
Qiyong Lu
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.
[BibTeX]
[DOI]
Zhao Chen
,
Bin Yang
,
Bin Wang
,
Guohua Liu
,
Wei Xia
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.
[BibTeX]
[DOI]
Wenfei Luo
,
Lianru Gao
,
Antonio Plaza
,
Andrea Marinoni
,
Bin Yang
,
Liang Zhong
,
Paolo Gamba
,
Bing Zhang
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016


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