Cite
Hyperspectral Anomaly Detection Through Spectral Unmixing and Dictionary-Based Low-Rank Decomposition.
MLA
Qu, Ying, et al. “Hyperspectral Anomaly Detection Through Spectral Unmixing and Dictionary-Based Low-Rank Decomposition.” IEEE Transactions on Geoscience & Remote Sensing, vol. 56, no. 8, Aug. 2018, pp. 4391–405. EBSCOhost, https://doi.org/10.1109/TGRS.2018.2818159.
APA
Qu, Y., Wang, W., Guo, R., Ayhan, B., Kwan, C., Vance, S., & Qi, H. (2018). Hyperspectral Anomaly Detection Through Spectral Unmixing and Dictionary-Based Low-Rank Decomposition. IEEE Transactions on Geoscience & Remote Sensing, 56(8), 4391–4405. https://doi.org/10.1109/TGRS.2018.2818159
Chicago
Qu, Ying, Wei Wang, Rui Guo, Bulent Ayhan, Chiman Kwan, Steven Vance, and Hairong Qi. 2018. “Hyperspectral Anomaly Detection Through Spectral Unmixing and Dictionary-Based Low-Rank Decomposition.” IEEE Transactions on Geoscience & Remote Sensing 56 (8): 4391–4405. doi:10.1109/TGRS.2018.2818159.