Phinzi, K.; Abriha, D.; Bertalan, L.; Holb, I.; Szabó, S.
Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach. ISPRS Int. J. Geo-Inf. 2020, 9, 252.
https://doi.org/10.3390/ijgi9040252
AMA Style
Phinzi K, Abriha D, Bertalan L, Holb I, Szabó S.
Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach. ISPRS International Journal of Geo-Information. 2020; 9(4):252.
https://doi.org/10.3390/ijgi9040252
Chicago/Turabian Style
Phinzi, Kwanele, Dávid Abriha, László Bertalan, Imre Holb, and Szilárd Szabó.
2020. "Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach" ISPRS International Journal of Geo-Information 9, no. 4: 252.
https://doi.org/10.3390/ijgi9040252
APA Style
Phinzi, K., Abriha, D., Bertalan, L., Holb, I., & Szabó, S.
(2020). Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach. ISPRS International Journal of Geo-Information, 9(4), 252.
https://doi.org/10.3390/ijgi9040252