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Journal Articles
- 2024
[j14]Qian Li, Changbo Wang, Laihang Yu
, Jian Zhang, Li Zhang, Kai Liu, Xiangfei Shen:
Toward Efficient Hyperspectral Anomaly Detection With Subspace Transformation Learning. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [j13]Haijun Liu, Xi Su, Xiangfei Shen, Xichuan Zhou:
MSNet: Self-Supervised Multiscale Network With Enhanced Separation Training for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j12]Xichuan Zhou, Xuan Zou, Xiangfei Shen, Wenjia Wei, Xia Zhu, Haijun Liu:
BTC-Net: Efficient Bit-Level Tensor Data Compression Network for Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - 2023
- [j11]Xiangfei Shen, Lihui Chen, Haijun Liu, Xi Su, Wenjia Wei, Xia Zhu, Xichuan Zhou:
Efficient Hyperspectral Sparse Regression Unmixing With Multilayers. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j10]Xiangfei Shen, Haijun Liu, Jing Nie, Xichuan Zhou:
Matrix Factorization With Framelet and Saliency Priors for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - 2022
- [j9]Hongbo Liang, Wenxing Bao, Xiangfei Shen, Xiaowu Zhang:
HSI-Mixer: Hyperspectral Image Classification Using the Spectral-Spatial Mixer Representation From Convolutions. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j8]Xiangfei Shen, Wenxing Bao, Hongbo Liang, Xiaowu Zhang, Xuan Ma:
Grouped Collaborative Representation for Hyperspectral Image Classification Using a Two-Phase Strategy. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j7]Xiangfei Shen, Haijun Liu, Xinzheng Zhang, Kai Qin, Xichuan Zhou:
Superpixel-Guided Local Sparsity Prior for Hyperspectral Sparse Regression Unmixing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j6]Xiangfei Shen, Haijun Liu, Jian Qin, Fangyuan Ge, Xichuan Zhou:
Toward Weak Signal Analysis in Hyperspectral Data: An Efficient Unmixing Perspective. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - 2021
- [j5]Hongbo Liang, Wenxing Bao, Xiangfei Shen:
Adaptive Weighting Feature Fusion Approach Based on Generative Adversarial Network for Hyperspectral Image Classification. Remote. Sens. 13(2): 198 (2021) - [j4]Xiangfei Shen, Wenxing Bao, Kewen Qu:
Subspace-Based Preprocessing Module for Fast Hyperspectral Endmember Selection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3386-3402 (2021) - [j3]Hongbo Liang, Wenxing Bao, Xiangfei Shen, Xiaowu Zhang:
Spectral-Spatial Attention Feature Extraction for Hyperspectral Image Classification Based on Generative Adversarial Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10017-10032 (2021) - 2020
- [j2]Xiangfei Shen, Wenxing Bao, Kewen Qu:
Spatial-Spectral Hyperspectral Endmember Extraction Using a Spatial Energy Prior Constrained Maximum Simplex Volume Approach. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1347-1361 (2020) - 2019
- [j1]Xiangfei Shen, Wenxing Bao:
Hyperspectral Endmember Extraction Using Spatially Weighted Simplex Strategy. Remote. Sens. 11(18): 2147 (2019)
Conference and Workshop Papers
- 2019
- [c3]Kewen Qu, Wenxing Bao, Xiangfei Shen:
Hyperspectral Unmixing Using Weighted L1/2 Sparse Total Variation Regularized and Volume Prior Constrained Nonnegative Matrix Factorization. IGARSS 2019: 2147-2150 - [c2]Xiangfei Shen, Wenxing Bao:
A Spatial Energy And Spectral Purity Based Preprocessing Algorithm For Fast Hyperspectral Endmember Extraction. WHISPERS 2019: 1-5 - 2018
- [c1]Xiangfei Shen, Wenxing Bao, Kewen Qu:
Clustering based spatial spectral preprocessing for hyperspectral unmxing. ICCIP 2018: 313-316
Informal and Other Publications
- 2024
- [i1]Xi Su, Xiangfei Shen, Mingyang Wan, Jing Nie, Lihui Chen, Haijun Liu, Xichuan Zhou:
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution. CoRR abs/2409.04050 (2024)
Coauthor Index
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