APA (7th ed.) Citation

Shi, S., Zhao, M., Zhang, L., Altmann, Y., & Chen, J. (2022). Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability. IEEE transactions on geoscience and remote sensing, 60, 1-15. https://doi.org/10.1109/TGRS.2021.3121799

Chicago Style (17th ed.) Citation

Shi, Shuaikai, Min Zhao, Lijun Zhang, Yoann Altmann, and Jie Chen. "Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability." IEEE Transactions on Geoscience and Remote Sensing 60 (2022): 1-15. https://doi.org/10.1109/TGRS.2021.3121799.

MLA (9th ed.) Citation

Shi, Shuaikai, et al. "Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability." IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 2022, pp. 1-15, https://doi.org/10.1109/TGRS.2021.3121799.