Francisco Javier González Matesanz

According to our database, Francisco Javier González Matesanz authored at least 2 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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.

Calimanut-Ionut Cira, Miguel-Ángel Manso-Callejo, Ramón Alcarria, Borja Bordel Sánchez, Francisco Javier González Matesanz

Remote. Sens., April, 2023

2021

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