Cite
Anomaly Detection in Satellite-Borne Push-Broom Hyperspectral Imagery Based on Joint Low-Rank Tensor Approximation
MLA
Lv, Shuai, and Yin-Nian Liu. “Anomaly Detection in Satellite-Borne Push-Broom Hyperspectral Imagery Based on Joint Low-Rank Tensor Approximation.” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, no. 1, Jan. 2024, pp. 1–20. EBSCOhost, https://doi.org/10.1109/TGRS.2023.3346714.
APA
Lv, S., & Liu, Y.-N. (2024). Anomaly Detection in Satellite-Borne Push-Broom Hyperspectral Imagery Based on Joint Low-Rank Tensor Approximation. IEEE Transactions on Geoscience and Remote Sensing, 62(1), 1–20. https://doi.org/10.1109/TGRS.2023.3346714
Chicago
Lv, Shuai, and Yin-Nian Liu. 2024. “Anomaly Detection in Satellite-Borne Push-Broom Hyperspectral Imagery Based on Joint Low-Rank Tensor Approximation.” IEEE Transactions on Geoscience and Remote Sensing 62 (1): 1–20. doi:10.1109/TGRS.2023.3346714.