Chen, T.; Su, X.; Li, H.; Li, S.; Liu, J.; Zhang, G.; Feng, X.; Wang, S.; Liu, X.; Wang, Y.;
et al. Learning a Fully Connected U-Net for Spectrum Reconstruction of Fourier Transform Imaging Spectrometers. Remote Sens. 2022, 14, 900.
https://doi.org/10.3390/rs14040900
AMA Style
Chen T, Su X, Li H, Li S, Liu J, Zhang G, Feng X, Wang S, Liu X, Wang Y,
et al. Learning a Fully Connected U-Net for Spectrum Reconstruction of Fourier Transform Imaging Spectrometers. Remote Sensing. 2022; 14(4):900.
https://doi.org/10.3390/rs14040900
Chicago/Turabian Style
Chen, Tieqiao, Xiuqin Su, Haiwei Li, Siyuan Li, Jia Liu, Geng Zhang, Xiangpeng Feng, Shuang Wang, Xuebin Liu, Yihao Wang,
and et al. 2022. "Learning a Fully Connected U-Net for Spectrum Reconstruction of Fourier Transform Imaging Spectrometers" Remote Sensing 14, no. 4: 900.
https://doi.org/10.3390/rs14040900
APA Style
Chen, T., Su, X., Li, H., Li, S., Liu, J., Zhang, G., Feng, X., Wang, S., Liu, X., Wang, Y., & Zou, C.
(2022). Learning a Fully Connected U-Net for Spectrum Reconstruction of Fourier Transform Imaging Spectrometers. Remote Sensing, 14(4), 900.
https://doi.org/10.3390/rs14040900