Huerta, R.E.; Yépez, F.D.; Lozano-GarcÃa, D.F.; Guerra Cobián, V.H.; Ferriño Fierro, A.L.; de León Gómez, H.; Cavazos González, R.A.; Vargas-MartÃnez, A.
Mapping Urban Green Spaces at the Metropolitan Level Using Very High Resolution Satellite Imagery and Deep Learning Techniques for Semantic Segmentation. Remote Sens. 2021, 13, 2031.
https://doi.org/10.3390/rs13112031
AMA Style
Huerta RE, Yépez FD, Lozano-GarcÃa DF, Guerra Cobián VH, Ferriño Fierro AL, de León Gómez H, Cavazos González RA, Vargas-MartÃnez A.
Mapping Urban Green Spaces at the Metropolitan Level Using Very High Resolution Satellite Imagery and Deep Learning Techniques for Semantic Segmentation. Remote Sensing. 2021; 13(11):2031.
https://doi.org/10.3390/rs13112031
Chicago/Turabian Style
Huerta, Roberto E., Fabiola D. Yépez, Diego F. Lozano-GarcÃa, VÃctor H. Guerra Cobián, Adrián L. Ferriño Fierro, Héctor de León Gómez, Ricardo A. Cavazos González, and Adriana Vargas-MartÃnez.
2021. "Mapping Urban Green Spaces at the Metropolitan Level Using Very High Resolution Satellite Imagery and Deep Learning Techniques for Semantic Segmentation" Remote Sensing 13, no. 11: 2031.
https://doi.org/10.3390/rs13112031
APA Style
Huerta, R. E., Yépez, F. D., Lozano-GarcÃa, D. F., Guerra Cobián, V. H., Ferriño Fierro, A. L., de León Gómez, H., Cavazos González, R. A., & Vargas-MartÃnez, A.
(2021). Mapping Urban Green Spaces at the Metropolitan Level Using Very High Resolution Satellite Imagery and Deep Learning Techniques for Semantic Segmentation. Remote Sensing, 13(11), 2031.
https://doi.org/10.3390/rs13112031