Calimanut-Ionut Cira

12 papers Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Impact of Tile Size and Tile Overlap on the Prediction Performance of Convolutional Neural Networks Trained for Road Classification.
Remote. Sens.
Calimanut-Ionut Cira, Miguel-Ángel Manso-Callejo, Naoto Yokoya, Tudor Salagean, Ana-Cornelia Badea
2024 J jnl
Insights into the Effects of Tile Size and Tile Overlap Levels on Semantic Segmentation Models Trained for Road Surface Area Extraction from Aerial Orthophotography.
Remote. Sens.
Calimanut-Ionut Cira, Miguel-Ángel Manso-Callejo, Ramón Alcarria, Teresa Iturrioz-Aguirre, José-Juan Arranz-Justel
2023 J jnl
Assessment of the large-scale extraction of photovoltaic (PV) panels with a workflow based on artificial neural networks and algorithmic postprocessing of vectorization results.
Int. J. Appl. Earth Obs. Geoinformation
Miguel-Ángel Manso-Callejo, Calimanut-Ionut Cira, José-Juan Arranz-Justel, Izar Sinde-González, Tudor Salagean
2023 J jnl
CyL-GHI: Global Horizontal Irradiance Dataset Containing 18 Years of Refined Data at 30-Min Granularity from 37 Stations Located in Castile and León (Spain).
Data
Llinet Benavides Cesar, Miguel-Ángel Manso-Callejo, Calimanut-Ionut Cira, Ramón Alcarria
2023 J jnl
Non-Destructive Measurements for 3D Modeling and Monitoring of Large Buildings Using Terrestrial Laser Scanning and Unmanned Aerial Systems.
Sensors
Mircea Emil Nap, Silvia Chiorean, Calimanut-Ionut Cira, Miguel-Ángel Manso-Callejo, Vlad Paunescu, Elemer-Emanuel Suba, Tudor Salagean
2023 J jnl
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.
Calimanut-Ionut Cira, Miguel-Ángel Manso-Callejo, Ramón Alcarria, Borja Bordel Sánchez, Francisco Javier González Matesanz
2022 — —
Contribution to Object Extraction in Cartography: A Novel Deep Learning-Based Solution to Recognise, Segment and Post-Process the Road Transport Network as a Continuous Geospatial Element in High-Resolution Aerial Orthoimagery.
Calimanut-Ionut Cira
2022 J jnl
Improving Road Surface Area Extraction via Semantic Segmentation with Conditional Generative Learning for Deep Inpainting Operations.
ISPRS Int. J. Geo Inf.
Calimanut-Ionut Cira, Martin Kada, Miguel-Ángel Manso-Callejo, Ramón Alcarria, Borja Bordel Sánchez
2021 J jnl
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.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Miguel-Ángel Manso-Callejo, Calimanut-Ionut Cira, Ramón Pablo Alcarria Garrido, Francisco Javier González Matesanz
2020 J jnl
A Framework Based on Nesting of Convolutional Neural Networks to Classify Secondary Roads in High Resolution Aerial Orthoimages.
Remote. Sens.
Calimanut-Ionut Cira, Ramón Alcarria, Miguel-Ángel Manso-Callejo, Francisco Serradilla
2020 J jnl
Optimizing the Recognition and Feature Extraction of Wind Turbines through Hybrid Semantic Segmentation Architectures.
Remote. Sens.
Miguel-Ángel Manso-Callejo, Calimanut-Ionut Cira, Ramón Alcarria, José-Juan Arranz-Justel
2019 — conf
Evaluation of Transfer Learning Techniques with Convolutional Neural Networks (CNNs) to Detect the Existence of Roads in High-Resolution Aerial Imagery.
ICAI
Calimanut-Ionut Cira, Ramón Alcarria, Miguel-Ángel Manso-Callejo, Francisco Serradilla