Miguel A Manso Callejo

About Miguel A Manso Callejo

Miguel A Manso Callejo, With an exceptional h-index of 18 and a recent h-index of 13 (since 2020), a distinguished researcher at Universidad Politécnica de Madrid, specializes in the field of Deep Learning Geoespacial. Infraestructuras de datos geográficos, CrowdSourcing de información geográfica, Bases de datos esp.

His recent articles reflect a diverse array of research interests and contributions to the field:

Statement of Peer Review

Evaluation of Multiclass Extraction of Representative Road Lines Found on Highway Pavement Using Supervised Semantic Segmentation Techniques and Aerial Imagery

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)

GENERALIZACIÓN Y MEJORA DE LAS GEOMETRÍAS DE PANELES SOLARES OBTENIDOS POR APRENDIZAJE PROFUNDO

BERT (Bidirectional Encoder Representations from Transformers) for missing data imputation in solar irradiance time series

Evaluación del rendimiento obtenido por redes neuronales artificiales entrenadas con técnicas de segmentación semántica para la extracción multiclase sobre imágenes panorámicas …

Wind Influence on the Spatiotemporal Forecast of Global Horizontal Irradiance

Non-destructive measurements for 3D modeling and monitoring of large buildings using terrestrial laser scanning and unmanned aerial systems

Miguel A Manso Callejo Information

University

Position

Grupo Mercator ETSI Topografía Geodesia y Cartografía

Citations(all)

1051

Citations(since 2020)

633

Cited By

667

hIndex(all)

18

hIndex(since 2020)

13

i10Index(all)

31

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Miguel A Manso Callejo Skills & Research Interests

Deep Learning Geoespacial. Infraestructuras de datos geográficos

CrowdSourcing de información geográfica

Bases de datos esp

Top articles of Miguel A Manso Callejo

Title

Journal

Author(s)

Publication Date

Statement of Peer Review

Ir Widodo

Eko Widodo

Loh Teck Chwen

Helen Louton

Abdul Razak Alimon

...

2023/10/30

Evaluation of Multiclass Extraction of Representative Road Lines Found on Highway Pavement Using Supervised Semantic Segmentation Techniques and Aerial Imagery

Calimanut-Ionut Cira

José-Juan Arranz-Justel

Elemer-Emanuel Şuba

Miguel-Ángel Manso-Callejo

Mircea-Emil Nap

...

2024/2/1

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

Ramon Alcarria

2023/3/26

GENERALIZACIÓN Y MEJORA DE LAS GEOMETRÍAS DE PANELES SOLARES OBTENIDOS POR APRENDIZAJE PROFUNDO

Miguel Ángel Manso Callejo

2023/7/3

BERT (Bidirectional Encoder Representations from Transformers) for missing data imputation in solar irradiance time series

Engineering Proceedings

Llinet Benavides Cesar

Miguel-Ángel Manso-Callejo

Calimanut-Ionut Cira

2023/6/30

Evaluación del rendimiento obtenido por redes neuronales artificiales entrenadas con técnicas de segmentación semántica para la extracción multiclase sobre imágenes panorámicas …

Miguel Ángel Manso Callejo

2023/6/20

Wind Influence on the Spatiotemporal Forecast of Global Horizontal Irradiance

Environmental Sciences Proceedings

Llinet Benavides Cesar

Miguel Ángel Manso Callejo

Calimanut-Ionut Cira

2023/12/19

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 Păunescu

...

2023/6/17

Assessment of the large-scale extraction of photovoltaic (PV) panels with a workflow based on artificial neural networks and algorithmic postprocessing of vectorization results

International Journal of Applied Earth Observation and Geoinformation

Miguel-Ángel Manso-Callejo

Calimanut-Ionut Cira

José-Juan Arranz-Justel

Izar Sinde-González

Tudor Sălăgean

2023/12/1

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 …

Remote Sensing

Calimanut-Ionut Cira

Miguel-Ángel Manso-Callejo

Ramón Alcarria

Borja Bordel Sánchez

Javier González Matesanz

2023/4/16

Convolutional Neural Networks Adapted for Regression Tasks: Predicting the Orientation of Straight Arrows on Marked Road Pavement Using Deep Learning and Rectified Orthophotography

Electronics

Calimanut-Ionut Cira

Alberto Díaz-Álvarez

Francisco Serradilla

Miguel-Ángel Manso-Callejo

2023/9/21

Two Novel Deep Learning Models for Short-term Forecasting of Solar Radiation Using Meteorological Variables

Llinet Benavides Cesar

Miguel Ángel Manso Callejo

Calimanut-Ionut Cira

2022/6/22

Review on spatio-temporal solar forecasting methods driven by in situ measurements or their combination with satellite and numerical weather prediction (NWP) estimates

Llinet Benavides Cesar

Rodrigo Amaro e Silva

Miguel Ángel Manso Callejo

Calimanut-Ionut Cira

2022/6/14

Dataset containing orthoimages tagged with road information covering approximately 8650 km2 of the Spanish territory (SROADEX)

Data in Brief

Miguel-Ángel Manso-Callejo

Calimanut-Ionut Cira

Alicia González-Jiménez

José-Javier Querol-Pascual

2022/6/1

Improving road surface area extraction via semantic segmentation with conditional generative learning for deep inpainting operations

ISPRS International Journal of Geo-Information

Calimanut-Ionut Cira

Martin Kada

Miguel-Ángel Manso-Callejo

Ramón Alcarria

Borja Bordel Sanchez

2022/1

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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Miguel-Ángel Manso-Callejo

Calimanut-Ionut Cira

Ramón Pablo Alcarria Garrido

Francisco Javier González Matesanz

2021/8/4

Prophet model for forecasting occupancy presence in indoor spaces using non-intrusive sensors

AGILE: GIScience Series

Alec Parise

Miguel A Manso-Callejo

Hung Cao

Monica Wachowicz

2021/6/4

Generative Learning for Postprocessing Semantic Segmentation Predictions: A Lightweight Conditional Generative Adversarial Network Based on Pix2pix to Improve the Extraction of …

Land

Calimanut-Ionut Cira

Miguel-Ángel Manso-Callejo

Ramon Alcarria

Teresa Fernandez Pareja

Borja Bordel Sanchez

...

2021/1/16

Diseño de estrategias de crowdsourcing en sistemas de información geográfica voluntaria

José Pablo Gómez Barrón

Miguel Angel Manso Callejo

Ramón Alcarria

2021

A Deep Learning-Based Solution for Large-Scale Extraction of the Secondary Road Network from High-Resolution Aerial Orthoimagery

Applied Sciences

Calimanut-Ionut Cira

Ramón Alcarria

Miguel-Ángel Manso-Callejo

Francisco Serradilla

2020/10/17

See List of Professors in Miguel A Manso Callejo University(Universidad Politécnica de Madrid)

Co-Authors

academic-engine