Xiangfei Shen

According to our database, Xiangfei Shen authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

BTC-Net: Efficient Bit-Level Tensor Data Compression Network for Hyperspectral Image.

Xichuan Zhou, Xuan Zou, Xiangfei Shen, Wenjia Wei, Xia Zhu, Haijun Liu

IEEE Trans. Geosci. Remote. Sens., 2024

MSNet: Self-Supervised Multiscale Network With Enhanced Separation Training for Hyperspectral Anomaly Detection.

Haijun Liu, Xi Su, Xiangfei Shen, Xichuan Zhou

IEEE Trans. Geosci. Remote. Sens., 2024

Toward Efficient Hyperspectral Anomaly Detection With Subspace Transformation Learning.

Qian Li, Changbo Wang, Laihang Yu, Jian Zhang, Li Zhang, Kai Liu, Xiangfei Shen

IEEE Geosci. Remote. Sens. Lett., 2024

EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution.

Xi Su, Xiangfei Shen, Mingyang Wan, Jing Nie, Lihui Chen, Haijun Liu, Xichuan Zhou

CoRR, 2024

2023

Matrix Factorization With Framelet and Saliency Priors for Hyperspectral Anomaly Detection.

Xiangfei Shen, Haijun Liu, Jing Nie, Xichuan Zhou

IEEE Trans. Geosci. Remote. Sens., 2023

Efficient Hyperspectral Sparse Regression Unmixing With Multilayers.

Xiangfei Shen, Lihui Chen, Haijun Liu, Xi Su, Wenjia Wei, Xia Zhu, Xichuan Zhou

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Toward Weak Signal Analysis in Hyperspectral Data: An Efficient Unmixing Perspective.

Xiangfei Shen, Haijun Liu, Jian Qin, Fangyuan Ge, Xichuan Zhou

IEEE Trans. Geosci. Remote. Sens., 2022

Superpixel-Guided Local Sparsity Prior for Hyperspectral Sparse Regression Unmixing.

Xiangfei Shen, Haijun Liu, Xinzheng Zhang, Kai Qin, Xichuan Zhou

IEEE Geosci. Remote. Sens. Lett., 2022

Grouped Collaborative Representation for Hyperspectral Image Classification Using a Two-Phase Strategy.

Xiangfei Shen, Wenxing Bao, Hongbo Liang, Xiaowu Zhang, Xuan Ma

IEEE Geosci. Remote. Sens. Lett., 2022

HSI-Mixer: Hyperspectral Image Classification Using the Spectral-Spatial Mixer Representation From Convolutions.

Hongbo Liang, Wenxing Bao, Xiangfei Shen, Xiaowu Zhang

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Subspace-Based Preprocessing Module for Fast Hyperspectral Endmember Selection.

Xiangfei Shen, Wenxing Bao, Kewen Qu

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

Spectral-Spatial Attention Feature Extraction for Hyperspectral Image Classification Based on Generative Adversarial Network.

Hongbo Liang, Wenxing Bao, Xiangfei Shen, Xiaowu Zhang

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

Adaptive Weighting Feature Fusion Approach Based on Generative Adversarial Network for Hyperspectral Image Classification.

Hongbo Liang, Wenxing Bao, Xiangfei Shen

Remote. Sens., 2021

2020

Spatial-Spectral Hyperspectral Endmember Extraction Using a Spatial Energy Prior Constrained Maximum Simplex Volume Approach.

Xiangfei Shen, Wenxing Bao, Kewen Qu

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

2019

Hyperspectral Endmember Extraction Using Spatially Weighted Simplex Strategy.

Xiangfei Shen, Wenxing Bao

Remote. Sens., 2019

A Spatial Energy And Spectral Purity Based Preprocessing Algorithm For Fast Hyperspectral Endmember Extraction.

Xiangfei Shen, Wenxing Bao

Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

Hyperspectral Unmixing Using Weighted L1/2 Sparse Total Variation Regularized and Volume Prior Constrained Nonnegative Matrix Factorization.

Kewen Qu, Wenxing Bao, Xiangfei Shen

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

2018

Clustering based spatial spectral preprocessing for hyperspectral unmxing.

Xiangfei Shen, Wenxing Bao, Kewen Qu

Proceedings of the 4th International Conference on Communication and Information Processing, 2018