B.S. degree and M.S. degree at School of Optics and Photonics, Beijing Institute of Technology.
Now pursuing the Ph.D. degree in optical engineering at School of Optics and Photonics, Beijing Institute of Technology.
Research interests: compressive hyperspectral imaging, hyperspectral image reconstruction, deep learning, coding optimization algorithms.
Publication:
1. Wang, X., Y. Zhang, X. Ma, T. Xu and G. R. Arce (2018). "Compressive spectral imaging system based on liquid crystal tunable filter." Optics Express 26(19): 25226-25243. https://doi.org/10.1364/OE.26.025226
2. Yu, Y., T. Xu, Z. Shen, Y. Zhang and X. Wang (2019). "Compressive spectral imaging system for soil classification with three-dimensional convolutional neural network." Optics Express 27(16): 23029-23048. https://doi.org/10.1364/OE.27.023029
3. Zhang, Y., X. Wang, H. Tan, C. Xu, X. Ma and T. Xu (2019). "Region Merging Method for Remote Sensing Spectral Image Aided by Inter-Segment and Boundary Homogeneities." 11(12): 1414. DOI: 10.3390/rs11121414
4. Fan, A., T. Xu, G. Teng, X. Wang, Y. Zhang and C. Pan (2020). "Hyperspectral polarization-compressed imaging and reconstruction with sparse basis optimized by particle swarm optimization." Chemometrics and Intelligent Laboratory Systems 206: 104163. https://doi.org/10.1016/j.chemolab.2020.104163
5. Wang, X., T. Xu, Y. Zhang, C. Xu, A. Fan and Y. Yu (2020). A multi-channel spectral coding method for the coded aperture tunable filter spectral imager, SPIE. https://doi.org/10.1117/12.2554982
6. Xu, C., T. Xu, G. Yan, X. Ma, Y. Zhang, X. Wang, F. Zhao and G. R. Arce (2020). "Super-resolution compressive spectral imaging via two-tone adaptive coding." Photonics Research 8(3): 395-411. https://doi.org/10.1364/PRJ.377665
7. Zhang, Y., T. Xu, X. Wang, C. Pan, J. Hao and C. Huang (2020). Real-time adaptive coded aperture: application to the compressive spectral imaging system, SPIE. https://doi.org/10.1117/12.2557061
sxdxfz204wx@gmail.com