First Dataset of Wind Turbine Data Created at National Level With Deep Learning Techniques From Aerial Orthophotographs With a Spatial Resolution of 0.5 M/Pixel. - Miguel-Ángel Manso-Callejo; Calimanut-Ionut Cira; Ramón Pablo Alcarria Garrido; Francisco Javier González Matesanz (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

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. - Calimanut-Ionut Cira; Miguel-Ángel Manso-Callejo; Ramón Alcarria; Borja Bordel Sánchez; Francisco Javier González Matesanz (Remote. Sens., 2023)