Calimanut Ionut Cira
0000-0002-7713-7238
Universidad Politecnica de Madrid
14 papers found
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Ensemble of optimised machine learning algorithms for predicting surface soil moisture content at a global scale
Improving Road Surface Area Extraction via Semantic Segmentation with Conditional Generative Learning for Deep Inpainting Operations
Exploración de técnicas de aprendizaje automático para la mejora de la resolución espacial de ortoimágenes
Influencia del tamaño de la tesela en el reconocimiento y extracción de caminos en ortoimágenes
Generative Learning for Postprocessing Semantic Segmentation Predictions: A Lightweight Conditional Generative Adversarial Network Based on Pix2pix to Improve the Extraction of Road Surface Areas
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
Optimizing the Recognition and Feature Extraction of Wind Turbines through Hybrid Semantic Segmentation Architectures
Soluciones a los desafíos encontrados durante la aplicación del aprendizaje profundo a la segmentación de viales secundarios a gran escala
Propuesta de flujo de trabajo para la segmentación semántica de viales
A Deep Learning-Based Solution for Large-Scale Extraction of the Secondary Road Network from High-Resolution Aerial Orthoimagery
Automatic service deployment in resource constrained ad-hoc networks with configurable QoS
A Framework Based on Nesting of Convolutional Neural Networks to Classify Secondary Roads in High Resolution Aerial Orthoimages
A Deep Convolutional Neural Network to Detect the Existence of Geospatial Elements in High-Resolution Aerial Imagery
Evaluation of Transfer Learning Techniques with Convolutional Neural Networks (CNNs) to Detect the Existence of Roads in High-Resolution Aerial Imagery
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