Yang, D.; Song, J.; Huang, C.; Yang, F.; Han, Y.; Wang, R.
A Study on Airborne Hyperspectral Tree Species Classification Based on the Synergistic Integration of Machine Learning and Deep Learning. Forests 2025, 16, 1032.
https://doi.org/10.3390/f16061032
AMA Style
Yang D, Song J, Huang C, Yang F, Han Y, Wang R.
A Study on Airborne Hyperspectral Tree Species Classification Based on the Synergistic Integration of Machine Learning and Deep Learning. Forests. 2025; 16(6):1032.
https://doi.org/10.3390/f16061032
Chicago/Turabian Style
Yang, Dabing, Jinxiu Song, Chaohua Huang, Fengxin Yang, Yiming Han, and Ruirui Wang.
2025. "A Study on Airborne Hyperspectral Tree Species Classification Based on the Synergistic Integration of Machine Learning and Deep Learning" Forests 16, no. 6: 1032.
https://doi.org/10.3390/f16061032
APA Style
Yang, D., Song, J., Huang, C., Yang, F., Han, Y., & Wang, R.
(2025). A Study on Airborne Hyperspectral Tree Species Classification Based on the Synergistic Integration of Machine Learning and Deep Learning. Forests, 16(6), 1032.
https://doi.org/10.3390/f16061032