Knauer, U.; von Rekowski, C.S.; Stecklina, M.; Krokotsch, T.; Pham Minh, T.; Hauffe, V.; Kilias, D.; Ehrhardt, I.; Sagischewski, H.; Chmara, S.;
et al. Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers. Remote Sens. 2019, 11, 2788.
https://doi.org/10.3390/rs11232788
AMA Style
Knauer U, von Rekowski CS, Stecklina M, Krokotsch T, Pham Minh T, Hauffe V, Kilias D, Ehrhardt I, Sagischewski H, Chmara S,
et al. Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers. Remote Sensing. 2019; 11(23):2788.
https://doi.org/10.3390/rs11232788
Chicago/Turabian Style
Knauer, Uwe, Cornelius Styp von Rekowski, Marianne Stecklina, Tilman Krokotsch, Tuan Pham Minh, Viola Hauffe, David Kilias, Ina Ehrhardt, Herbert Sagischewski, Sergej Chmara,
and et al. 2019. "Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers" Remote Sensing 11, no. 23: 2788.
https://doi.org/10.3390/rs11232788
APA Style
Knauer, U., von Rekowski, C. S., Stecklina, M., Krokotsch, T., Pham Minh, T., Hauffe, V., Kilias, D., Ehrhardt, I., Sagischewski, H., Chmara, S., & Seiffert, U.
(2019). Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers. Remote Sensing, 11(23), 2788.
https://doi.org/10.3390/rs11232788