Csatáriné Szabó, Z.; Mikita, T.; Négyesi, G.; Varga, O.G.; Burai, P.; Takács-Szilágyi, L.; Szabó, S.
Uncertainty and Overfitting in Fluvial Landform Classification Using Laser Scanned Data and Machine Learning: A Comparison of Pixel and Object-Based Approaches. Remote Sens. 2020, 12, 3652.
https://doi.org/10.3390/rs12213652
AMA Style
Csatáriné Szabó Z, Mikita T, Négyesi G, Varga OG, Burai P, Takács-Szilágyi L, Szabó S.
Uncertainty and Overfitting in Fluvial Landform Classification Using Laser Scanned Data and Machine Learning: A Comparison of Pixel and Object-Based Approaches. Remote Sensing. 2020; 12(21):3652.
https://doi.org/10.3390/rs12213652
Chicago/Turabian Style
Csatáriné Szabó, Zsuzsanna, Tomáš Mikita, Gábor Négyesi, Orsolya Gyöngyi Varga, Péter Burai, László Takács-Szilágyi, and Szilárd Szabó.
2020. "Uncertainty and Overfitting in Fluvial Landform Classification Using Laser Scanned Data and Machine Learning: A Comparison of Pixel and Object-Based Approaches" Remote Sensing 12, no. 21: 3652.
https://doi.org/10.3390/rs12213652
APA Style
Csatáriné Szabó, Z., Mikita, T., Négyesi, G., Varga, O. G., Burai, P., Takács-Szilágyi, L., & Szabó, S.
(2020). Uncertainty and Overfitting in Fluvial Landform Classification Using Laser Scanned Data and Machine Learning: A Comparison of Pixel and Object-Based Approaches. Remote Sensing, 12(21), 3652.
https://doi.org/10.3390/rs12213652
