Cira, C.-I.; Manso-Callejo, M.-Á.; Alcarria, R.; Bordel Sánchez, B.; González Matesanz, J.
State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning. Remote Sens. 2023, 15, 2099.
https://doi.org/10.3390/rs15082099
AMA Style
Cira C-I, Manso-Callejo M-Á, Alcarria R, Bordel Sánchez B, González Matesanz J.
State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning. Remote Sensing. 2023; 15(8):2099.
https://doi.org/10.3390/rs15082099
Chicago/Turabian Style
Cira, Calimanut-Ionut, Miguel-Ángel Manso-Callejo, Ramón Alcarria, Borja Bordel Sánchez, and Javier González Matesanz.
2023. "State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning" Remote Sensing 15, no. 8: 2099.
https://doi.org/10.3390/rs15082099
APA Style
Cira, C.-I., Manso-Callejo, M.-Á., Alcarria, R., Bordel Sánchez, B., & González Matesanz, J.
(2023). State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning. Remote Sensing, 15(8), 2099.
https://doi.org/10.3390/rs15082099