Xiaoguang Mei (梅晓光)

Short Bio:

Xiaoguang Mei received the B.S. degree in communication engineering from the Huazhong University of Science and Technology (HUST), Wuhan, China, in 2007, the M.S. degree in communications and information systems from Huazhong Normal University, Wuhan, in 2011, and the Ph.D. degree in circuits and systems from HUST in 2016. From 2010 to 2012, he was a Software Engineer with the 722 Research Institute, China Shipbuilding Industry Corporation, Wuhan. From 2016 to 2019, he was a Post-Doctoral Fellow with the Electronic Information School, Wuhan University (WHU), Wuhan. He is currently an assistant professor with WHU. His research interests include hyperspectral image processing, machine learning, and pattern recognition. (中文主页)

Contact information:
Email:  image.png

Publications:

 
[1] Mei, X., Pan, E., Ma, Y., Dai, X., Huang, J., Fan, F., and Ma, J,”Spectral-Spatial Attention Networks for Hyperspectral Image Classification”. Remote Sensing 11. 2019 [code]

 [2] Ma, Y., Jin, Q., Mei, X*., Dai, X., Fan, F., Li, H., & Huang, J, “Hyperspectral Unmixing with Gaussian Mixture Model and Low-Rank Representation”. Remote Sensing, 11(8), 911. 2019 [code]

 [3] X. Mei, Y. Ma, C. Li, F. Fan, J. Huang, and J. Ma, “Robust GBM hyperspectral image unmixing with superpixel segmentation based low rank and sparse representation,” Neurocomputing, vol. 275, pp. 2783-2797, 2018.[code]

 [4] Y. Ma, C. Li, H. Li, X. Mei, and J. Ma, “Hyperspectral Image Classification with Discriminative Kernel Collaborative Representation and Tikhonov Regularization,” IEEE Geoscience and Remote Sensing Letters, 2018.

 [5] Q. Du, A. Fan, Y. Ma, F. Fan, J. Huang, and X. Mei*, “Infrared and Visible Image Registration Based on Scale-Invariant PIIFD Feature and Locality Preserving Matching,” IEEE Access, 2018.

 [6] J. Wang, J. Chen, H. Xu, S. Zhang, X. Mei*, J. Huang, and J. Ma, “Gaussian Field Estimator with Manifold Regularization for Retinal Image Registration,” Signal Processing, 2018-01-01 2018.

 [7] Y. Ma, C. Li, X. Mei*, C. Liu, and J. Ma, “Robust Sparse Hyperspectral Unmixing With l2,1 Norm,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, pp. 1227-1239, 2017.[code]

 [8] H. Guo, Y. Ma, X. Mei*, and J. Ma, “Infrared and visible image fusion based on total variation and augmented Lagrangian,” Journal of the Optical Society of America A-Optics Image Science and Vision, vol. 34, pp. 1961-1968, 2017.

 [9] C. Li, Y. Ma, X. Mei*, F. Fan, J. Huang, and J. Ma, “Sparse Unmixing of Hyperspectral Data with Noise Level Estimation,” Remote Sensing, vol. 9, 2017.[code]

 [10] F. Fan, Y. Ma, C. Li, X. Mei, J. Huang, and J. Ma, “Hyperspectral image denoising with superpixel segmentation and low-rank representation,” Information Sciences, vol. 397, pp. 48-68, 2017.

 [11] Y. Ma, J. Wang, H. Xu, S. Zhang, X. Mei, and J. Ma, “Robust Image Feature Matching via Progressive Sparse Spatial Consensus,” IEEE Access, vol. 5, pp. 24568-24579, 2017.

[12] C. Li, Y. Ma, X. Mei, C. Liu, and J. Ma, “Hyperspectral Image Classification With Robust Sparse Representation,” IEEE Geoscience and Remote Sensing Letters, vol. 13, pp. 641-645, 2016.

[13] J. Han, Y. Ma, J. Huang, X. Mei, and J. Ma, “An Infrared Small Target Detecting Algorithm Based on Human Visual System,” IEEE Geoscience and Remote Sensing Letters, vol. 13, pp. 452-456, 2016.

[14] C. Li, Y. Ma, X. Mei, C. Liu, and J. Ma, “Hyperspectral Unmixing with Robust Collaborative Sparse Regression,” Remote Sensing, vol. 8, 2016.

[15] J. Huang, Y. Ma, X. Mei, and F. Fan, “A hybrid spatial-spectral denoising method for infrared hyperspectral images using 2DPCA,” Infrared Physics & Technology, vol. 79, pp. 68-73, 2016.

[16] C. Li, Y. Ma, J. Huang, X. Mei, C. Liu, and J. Ma, “GBM-Based Unmixing of Hyperspectral Data Using Bound Projected Optimal Gradient Method,” IEEE Geoscience and Remote Sensing Letters, vol. 13, pp. 952-956, 2016.

[17] X. Mei, Y. Ma, F. Fan, C. Li, C. Liu, J. Huang, and J. Ma, “Infrared ultraspectral signature classification based on a restricted Boltzmann machine with sparse and prior constraints,” International Journal of Remote Sensing, vol. 36, pp. 4724-4747, 2015.

[18] X. Mei, Y. Ma, C. Li, F. Fan, J. Huang, and J. Ma, “A Real-Time Infrared Ultra-Spectral Signature Classification Method via Spatial Pyramid Matching,” Sensors, vol. 15, pp. 15868-15887, 2015.

[19] C. Li, Y. Ma, J. Huang, X. Mei, and J. Ma, “Hyperspectral image denoising using the robust low-rank tensor recovery,” Journal of the Optical Society of America A-Optics Image Science and Vision, vol. 32, pp. 1604-1612, 2015.

[20] T. Tian, X. Mei, Y. Yu, C. Zhang, and X. Zhang, “Automatic visible and infrared face registration based on silhouette matching and robust transformation estimation,” Infrared Physics & Technology, vol. 69, pp. 145-154, 2015.

[21] J. Huang, Y. Ma, F. Fan, X. Mei, and Z. Liu, “A scene-based nonuniformity correction algorithm based on fuzzy logic,” Optical Review, vol. 22, pp. 614-622, 2015.

[22] B. Zhou, S. Wang, Y. Ma, X. Mei, B. Li, H. Li, and F. Fan, “An infrared image impulse noise suppression algorithm based on fuzzy logic,” Infrared Physics & Technology, vol. 60, pp. 346-358, 2013.