Ge Zhang

According to our database, Ge Zhang authored at least 18 papers between 2019 and 2025.

Collaborative distances:

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

2025

Spectral Variability-Aware Cascaded Autoencoder for Hyperspectral Unmixing.

Ge Zhang, Shaohui Mei, Yufei Wang, Huiyang Han, Yan Feng, Qian Du

IEEE Trans. Geosci. Remote. Sens., 2025

2024

Bridging CNN and Transformer With Cross-Attention Fusion Network for Hyperspectral Image Classification.

Fulin Xu, Shaohui Mei, Ge Zhang, Nan Wang, Qian Du

IEEE Trans. Geosci. Remote. Sens., 2024

Improving Depth Completion via Depth Feature Upsampling.

Yufei Wang, Ge Zhang, Shaoqian Wang, Bo Li, Qi Liu, Le Hui, Yuchao Dai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Multiscale and Cross-Level Attention Learning for Hyperspectral Image Classification.

Fulin Xu, Ge Zhang, Chao Song, Hui Wang, Shaohui Mei

IEEE Trans. Geosci. Remote. Sens., 2023

Reconstruction-Assisted and Distance-Optimized Adversarial Training: A Defense Framework for Remote Sensing Scene Classification.

Yuru Su, Ge Zhang, Shaohui Mei, Jiawei Lian, Ye Wang, Shuai Wan

IEEE Trans. Geosci. Remote. Sens., 2023

Lightweight Multiresolution Feature Fusion Network for Spectral Super-Resolution.

Shaohui Mei, Ge Zhang, Nan Wang, Bo Wu, Mingyang Ma, Yifan Zhang, Yan Feng

IEEE Trans. Geosci. Remote. Sens., 2023

LRRU: Long-short Range Recurrent Updating Networks for Depth Completion.

Yufei Wang, Bo Li, Ge Zhang, Qi Liu, Tao Gao, Yuchao Dai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images.

Ge Zhang, Shaohui Mei, Bobo Xie, Mingyang Ma, Yifan Zhang, Yan Feng, Qian Du

IEEE Trans. Geosci. Remote. Sens., 2022

Spectral Variation Augmented Representation for Hyperspectral Imagery Classification With Few Labeled Samples.

Bobo Xie, Yifan Zhang, Shaohui Mei, Ge Zhang, Yan Feng, Qian Du

IEEE Trans. Geosci. Remote. Sens., 2022

Spectral Variability Augmented Two-Stream Network for Hyperspectral Sparse Unmixing.

Ge Zhang, Shaohui Mei, Bobo Xie, Yan Feng, Qian Du

IEEE Geosci. Remote. Sens. Lett., 2022

Extended Collaborative Representation-Based Hyperspectral Imagery Classification.

Bobo Xie, Shaohui Mei, Ge Zhang, Yifan Zhang, Yan Feng, Qian Du

IEEE Geosci. Remote. Sens. Lett., 2022

Spectral-Spatial-Aware Transformer Fusion Network For Hyperspectral Object Tracking.

Ye Wang, Yuheng Liu, Ge Zhang, Yuru Su, Shun Zhang, Shaohui Mei

Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Gaussian Information Entropy based band Reduction for Unsupervised Hyperspectral Video Tracking.

Yuru Su, Shaohui Mei, Ge Zhang, Ye Wang, Mingyi He, Qian Du

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

2021

Spectral-Spatial Constrained Nonnegative Matrix Factorization for Spectral Mixture Analysis of Hyperspectral Images.

Ge Zhang, Shaohui Mei, Yan Feng, Qian Du

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images.

Ge Zhang, Shaohui Mei, Mingyang Ma, Yan Feng

CoRR, 2021

2020

Improving Spectral-Based Endmember Finding by Exploring Spatial Context for Hyperspectral Unmixing.

Shaohui Mei, Ge Zhang, Jun Li, Yifan Zhang, Qian Du

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

2019

Sensor-specific Transfer Learning for Hyperspectral Image Processing.

Shaohui Mei, Xiao Liu, Ge Zhang, Qian Du

Proceedings of the 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2019

Local Sparse Representation Based Spatial Preprocessing For Endmember Extraction.

Ge Zhang, Shaohui Mei, Jin Tian, Yan Feng, Qian Du

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019