Min Zhao

According to our database, Min Zhao authored at least 29 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Unrolling Plug-and-Play Network for Hyperspectral Unmixing.

Min Zhao, Linruize Tang, Jie Chen

IEEE Trans. Geosci. Remote. Sens., 2025

2024

AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising.

Min Zhao, Jie Chen, Nicolas Dobigeon

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Cascaded transformer U-net for image restoration.

Longbin Yan, Min Zhao, Shumin Liu, Shuaikai Shi, Jie Chen

Signal Process., May, 2023

Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods.

Jie Chen, Min Zhao, Xiuheng Wang, Cédric Richard, Susanto Rahardja

IEEE Signal Process. Mag., March, 2023

Guided Deep Generative Model-Based Spatial Regularization for Multiband Imaging Inverse Problems.

Min Zhao, Nicolas Dobigeon, Jie Chen

IEEE Trans. Image Process., 2023

Tobacco Impurities Detection with Deep Image Segmentation Method on Hyperspectral Imaging.

Linruize Tang, Min Zhao, Shuaikai Shi, Jie Chen, Jinwei Li, Qiang Li, Rengang Li

Proceedings of the IEEE International Conference on Signal Processing, 2023

2022

Hyperspectral Unmixing for Additive Nonlinear Models With a 3-D-CNN Autoencoder Network.

Min Zhao, Mou Wang, Jie Chen, Susanto Rahardja

IEEE Trans. Geosci. Remote. Sens., 2022

A Plug-and-Play Priors Framework for Hyperspectral Unmixing.

Min Zhao, Xiuheng Wang, Jie Chen, Wei Chen

IEEE Trans. Geosci. Remote. Sens., 2022

A 3-D-CNN Framework for Hyperspectral Unmixing With Spectral Variability.

Min Zhao, Shuaikai Shi, Jie Chen, Nicolas Dobigeon

IEEE Trans. Geosci. Remote. Sens., 2022

Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability.

Shuaikai Shi, Min Zhao, Lijun Zhang, Yoann Altmann, Jie Chen

IEEE Trans. Geosci. Remote. Sens., 2022

Deep Constrained Energy Minimization for Hyperspectral Target Detection.

Xiaoli Yang, Min Zhao, Shuaikai Shi, Jie Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Perceptual Loss-Constrained Adversarial Autoencoder Networks for Hyperspectral Unmixing.

Min Zhao, Mou Wang, Jie Chen, Susanto Rahardja

IEEE Geosci. Remote. Sens. Lett., 2022

Hyperspectral Unmixing via Nonnegative Matrix Factorization With Handcrafted and Learned Priors.

Min Zhao, Tiande Gao, Jie Chen, Wei Chen

IEEE Geosci. Remote. Sens. Lett., 2022

Multiscale-Superpixel-Based SparseCEM for Hyperspectral Target Detection.

Xiaoli Yang, Min Zhao, Tiande Gao, Jie Chen, Jie Zhang

IEEE Geosci. Remote. Sens. Lett., 2022

Hyperspectral Unmixing Powered by Deep Image Priors and Denoising Regularization.

Min Zhao, Jie Chen

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Constrained Energy Minimization with a DNN Detector.

Xiaoli Yang, Min Zhao, Shuaikai Shi, Jie Chen

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Object Detection in Hyperspectral Images.

Longbin Yan, Min Zhao, Xiuheng Wang, Yuge Zhang, Jie Chen

IEEE Signal Process. Lett., 2021

Hyperspectral Shadow Removal via Nonlinear Unmixing.

Min Zhao, Jie Chen, Susanto Rahardja

IEEE Geosci. Remote. Sens. Lett., 2021

LSTM-DNN Based Autoencoder Network for Nonlinear Hyperspectral Image Unmixing.

Min Zhao, Longbin Yan, Jie Chen

IEEE J. Sel. Top. Signal Process., 2021

Hyperspectral image shadow compensation via cycle-consistent adversarial networks.

Min Zhao, Longbin Yan, Jie Chen

Neurocomputing, 2021

Variational Autoencoders for Hyperspectral Unmixing with Endmember Variability.

Shuaikai Shi, Min Zhao, Lijun Zhang, Jie Chen

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Reconstruction of Hyperspectral Data From RGB Images With Prior Category Information.

Longbin Yan, Xiuheng Wang, Min Zhao, Maboud F. Kaloorazi, Jie Chen, Susanto Rahardja

IEEE Trans. Computational Imaging, 2020

Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors.

Min Zhao, Tiande Gao, Jie Chen, Wei Chen

CoRR, 2020

CNN-Based Anomaly Detection For Face Presentation Attack Detection With Multi-Channel Images.

Yuge Zhang, Min Zhao, Longbin Yan, Tiande Gao, Jie Chen

Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

A Multi-Model Fusion Framework for NIR-to-RGB Translation.

Longbin Yan, Xiuheng Wang, Min Zhao, Shumin Liu, Jie Chen

Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Hyperspectral Unmixing Via Plug-And-Play Priors.

Xiuheng Wang, Min Zhao, Jie Chen

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

A Laboratory-Created Dataset With Ground Truth for Hyperspectral Unmixing Evaluation.

Min Zhao, Jie Chen, Zhe He

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Nonlinear Unmixing of Hyperspectral Data via Deep Autoencoder Networks.

Mou Wang, Min Zhao, Jie Chen, Susanto Rahardja

IEEE Geosci. Remote. Sens. Lett., 2019

2018

A Dataset with Ground-Truth for Hyperspectral Unmixing.

Min Zhao, Jie Chen

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018