Calimanut-Ionut Cira
Orcid: 0000-0002-7713-7238
According to our database1,
Calimanut-Ionut Cira
authored at least 9 papers
between 2019 and 2023.
Collaborative distances:
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Bibliography
2023
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, December, 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. Sens., April, 2023
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, April, 2023
Non-Destructive Measurements for 3D Modeling and Monitoring of Large Buildings Using Terrestrial Laser Scanning and Unmanned Aerial Systems.
Sensors, 2023
2022
Improving Road Surface Area Extraction via Semantic Segmentation with Conditional Generative Learning for Deep Inpainting Operations.
ISPRS Int. J. Geo Inf., 2022
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.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
2020
Optimizing the Recognition and Feature Extraction of Wind Turbines through Hybrid Semantic Segmentation Architectures.
Remote. Sens., 2020
A Framework Based on Nesting of Convolutional Neural Networks to Classify Secondary Roads in High Resolution Aerial Orthoimages.
Remote. Sens., 2020
2019
Evaluation of Transfer Learning Techniques with Convolutional Neural Networks (CNNs) to Detect the Existence of Roads in High-Resolution Aerial Imagery.
Proceedings of the Applied Informatics - Second International Conference, 2019