Cite
ST-IRGS: A Region-Based Self-Training Algorithm Applied to Hyperspectral Image Classification and Segmentation.
MLA
Fan Li, et al. “ST-IRGS: A Region-Based Self-Training Algorithm Applied to Hyperspectral Image Classification and Segmentation.” IEEE Transactions on Geoscience & Remote Sensing, vol. 56, no. 1, Jan. 2018, pp. 3–16. EBSCOhost, https://doi.org/10.1109/TGRS.2017.2713123.
APA
Fan Li, Clausi, D. A., Wong, A., & Linlin Xu. (2018). ST-IRGS: A Region-Based Self-Training Algorithm Applied to Hyperspectral Image Classification and Segmentation. IEEE Transactions on Geoscience & Remote Sensing, 56(1), 3–16. https://doi.org/10.1109/TGRS.2017.2713123
Chicago
Fan Li, David A. Clausi, Alexander Wong, and Linlin Xu. 2018. “ST-IRGS: A Region-Based Self-Training Algorithm Applied to Hyperspectral Image Classification and Segmentation.” IEEE Transactions on Geoscience & Remote Sensing 56 (1): 3–16. doi:10.1109/TGRS.2017.2713123.