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Calimanut-Ionut Cira
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2020 – today
- 2024
- [j10]Calimanut-Ionut Cira, Miguel-Ángel Manso-Callejo, Naoto Yokoya, Tudor Salagean, Ana-Cornelia Badea:
Impact of Tile Size and Tile Overlap on the Prediction Performance of Convolutional Neural Networks Trained for Road Classification. Remote. Sens. 16(15): 2818 (2024) - [j9]Calimanut-Ionut Cira, Miguel-Ángel Manso-Callejo, Ramón Alcarria, Teresa Iturrioz-Aguirre, José-Juan Arranz-Justel:
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. 16(16): 2954 (2024) - 2023
- [j8]Miguel-Ángel Manso-Callejo, Calimanut-Ionut Cira, José-Juan Arranz-Justel, Izar Sinde-González, Tudor Salagean:
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 125: 103563 (2023) - [j7]Llinet Benavides Cesar, Miguel-Ángel Manso-Callejo, Calimanut-Ionut Cira, Ramón Alcarria:
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 8(4): 65 (2023) - [j6]Calimanut-Ionut Cira, Miguel-Ángel Manso-Callejo, Ramón Alcarria, Borja Bordel Sánchez, Francisco Javier González Matesanz:
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. 15(8): 2099 (2023) - [j5]Mircea Emil Nap, Silvia Chiorean, Calimanut-Ionut Cira, Miguel-Ángel Manso-Callejo, Vlad Paunescu, Elemer-Emanuel Suba, Tudor Salagean:
Non-Destructive Measurements for 3D Modeling and Monitoring of Large Buildings Using Terrestrial Laser Scanning and Unmanned Aerial Systems. Sensors 23(12): 5678 (2023) - 2022
- [j4]Calimanut-Ionut Cira, Martin Kada, Miguel-Ángel Manso-Callejo, Ramón Alcarria, Borja Bordel Sánchez:
Improving Road Surface Area Extraction via Semantic Segmentation with Conditional Generative Learning for Deep Inpainting Operations. ISPRS Int. J. Geo Inf. 11(1): 43 (2022) - 2021
- [j3]Miguel-Ángel Manso-Callejo, Calimanut-Ionut Cira, Ramón Pablo Alcarria Garrido, Francisco Javier González Matesanz:
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. 14: 7968-7980 (2021) - 2020
- [j2]Calimanut-Ionut Cira, Ramón Alcarria, Miguel-Ángel Manso-Callejo, Francisco Serradilla:
A Framework Based on Nesting of Convolutional Neural Networks to Classify Secondary Roads in High Resolution Aerial Orthoimages. Remote. Sens. 12(5): 765 (2020) - [j1]Miguel-Ángel Manso-Callejo, Calimanut-Ionut Cira, Ramón Alcarria, José-Juan Arranz-Justel:
Optimizing the Recognition and Feature Extraction of Wind Turbines through Hybrid Semantic Segmentation Architectures. Remote. Sens. 12(22): 3743 (2020)
2010 – 2019
- 2019
- [c1]Calimanut-Ionut Cira, Ramón Alcarria, Miguel-Ángel Manso-Callejo, Francisco Serradilla:
Evaluation of Transfer Learning Techniques with Convolutional Neural Networks (CNNs) to Detect the Existence of Roads in High-Resolution Aerial Imagery. ICAI 2019: 185-198
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last updated on 2024-10-07 21:19 CEST by the dblp team
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