1. Lecture Notes in Computer Science;N Akhtar,2014
2. Bach, S.H., He, B., Ratner, A., Ré, C.: Learning the structure of generative models without labeled data. In: International Conference on Machine Learning, pp. 273–282. PMLR (2017)
3. Bioucas-Dias, J.M., Plaza, A., Camps-Valls, G., Scheunders, P., Nasrabadi, N., Chanussot, J.: Hyperspectral remote sensing data analysis and future challenges. IEEE Geosci. Remote Sens. Mag. 1(2), 6–36 (2013)
4. Dian, R., Fang, L., Li, S.: Hyperspectral image super-resolution via non-local sparse tensor factorization. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5344–5353 (2017)
5. Dian, R., Li, S., Guo, A., Fang, L.: Deep hyperspectral image sharpening. IEEE Trans. Neural Netw. Learn. Syst. 99, 1–11 (2018)