Wu, E.; Wang, H.; Lu, H.; Zhu, W.; Jia, Y.; Wen, L.; Choi, C.-Y.; Guo, H.; Li, B.; Sun, L.;
et al. Unlocking the Potential of Deep Learning for Migratory Waterbirds Monitoring Using Surveillance Video. Remote Sens. 2022, 14, 514.
https://doi.org/10.3390/rs14030514
AMA Style
Wu E, Wang H, Lu H, Zhu W, Jia Y, Wen L, Choi C-Y, Guo H, Li B, Sun L,
et al. Unlocking the Potential of Deep Learning for Migratory Waterbirds Monitoring Using Surveillance Video. Remote Sensing. 2022; 14(3):514.
https://doi.org/10.3390/rs14030514
Chicago/Turabian Style
Wu, Entao, Hongchang Wang, Huaxiang Lu, Wenqi Zhu, Yifei Jia, Li Wen, Chi-Yeung Choi, Huimin Guo, Bin Li, Lili Sun,
and et al. 2022. "Unlocking the Potential of Deep Learning for Migratory Waterbirds Monitoring Using Surveillance Video" Remote Sensing 14, no. 3: 514.
https://doi.org/10.3390/rs14030514
APA Style
Wu, E., Wang, H., Lu, H., Zhu, W., Jia, Y., Wen, L., Choi, C.-Y., Guo, H., Li, B., Sun, L., Lei, G., Lei, J., & Jian, H.
(2022). Unlocking the Potential of Deep Learning for Migratory Waterbirds Monitoring Using Surveillance Video. Remote Sensing, 14(3), 514.
https://doi.org/10.3390/rs14030514