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