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ORCIDGonzalo Mateo-Garcia
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2020 – today
- 2024
[c14]James Parr, Giacomo Acciarini, Chris Bridges, Gonzalo Mateo-Garcia, Enrique Portales Julia, Cormac Purcell, Vít Ruzicka, Anne Spalding, Josh Veitch-Michaelis:
Live Twinning: A Vision of ML Enabled Assets in Leo for Rapid Response to Natural Catastrophes. IGARSS 2024: 685-688- [i11]Anna Vaughan, Gonzalo Mateo-Garcia, Itziar Irakulis-Loitxate, Marc Watine, Pablo Fernandez-Poblaciones, Richard E. Turner, James Requeima, Javier Gorroño, Cynthia Randles, Manfredi Caltagirone, Claudio Cifarelli:
AI for operational methane emitter monitoring from space. CoRR abs/2408.04745 (2024) - 2023
- [c13]César Aybar, David Montero, Gonzalo Mateo-García, Luis Gómez-Chova
:
Lessons Learned From Cloudsen12 Dataset: Identifying Incorrect Annotations in Cloud Semantic Segmentation Datasets. IGARSS 2023: 892-895 - [c12]Gonzalo Mateo-García, César Aybar, Giacomo Acciarini, Vít Ruzicka, Gabriele Meoni, Nicolas Longépé, Luis Gómez-Chova:
Onboard Cloud Detection and Atmospheric Correction with Deep Learning Emulators. IGARSS 2023: 1875-1878 - [c11]Vít Ruzicka, Gonzalo Mateo-García, Chris Bridges, Chris Brunskill, Cormac Purcell, Nicolas Longépé, Andrew Markham:
Fast Model Inference and Training On-Board of Satellites. IGARSS 2023: 2002-2005 - [i10]Vít Ruzicka, Gonzalo Mateo-García, Chris Bridges, Chris Brunskill, Cormac Purcell, Nicolas Longépé, Andrew Markham:
Fast model inference and training on-board of Satellites. CoRR abs/2307.08700 (2023) - 2021
- [j4]Dan López-Puigdollers, Gonzalo Mateo-García, Luis Gómez-Chova:
Benchmarking Deep Learning Models for Cloud Detection in Landsat-8 and Sentinel-2 Images. Remote. Sens. 13(5): 992 (2021) - [j3]Gonzalo Mateo-García, Valero Laparra, Dan López-Puigdollers, Luis Gómez-Chova:
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V Images for Cloud Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 747-761 (2021) - [i9]Vít Ruzicka, Anna Vaughan, Daniele De Martini, James Fulton, Valentina Salvatelli, Chris Bridges, Gonzalo Mateo-Garcia, Valentina Zantedeschi:
Unsupervised Change Detection of Extreme Events Using ML On-Board. CoRR abs/2111.02995 (2021) - [i8]Muhammed Razzak, Gonzalo Mateo-Garcia, Luis Gómez-Chova, Yarin Gal, Freddie Kalaitzis:
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation. CoRR abs/2111.03231 (2021) - 2020
- [i7]Gonzalo Mateo-García, Valero Laparra, Dan López-Puigdollers, Luis Gómez-Chova:
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud Detection. CoRR abs/2006.05923 (2020) - [i6]Dolores Garcia, Gonzalo Mateo-Garcia, Hannes Bernhardt, Ron Hagensieker, Ignacio G. Lopez Francos, Jonathan Stock, Guy Schumann, Kevin Dobbs, Freddie Kalaitzis:
Pix2Streams: Dynamic Hydrology Maps from Satellite-LiDAR Fusion. CoRR abs/2011.07584 (2020) - [i5]Ana B. Ruescas, Gonzalo Mateo-Garcia, Gustau Camps-Valls, Martin Hieronymi:
Retrieval of Case 2 Water Quality Parameters with Machine Learning. CoRR abs/2012.04495 (2020) - [i4]Gonzalo Mateo-García, Luis Gómez-Chova, Gustau Camps-Valls:
Convolutional Neural Networks for Multispectral Image Cloud Masking. CoRR abs/2012.05325 (2020) - [i3]Luis Gómez-Chova, Gonzalo Mateo-García, Jordi Muñoz-Marí, Gustau Camps-Valls:
Cloud detection machine learning algorithms for PROBA-V. CoRR abs/2012.10396 (2020) - [i2]Aleksandra Wolanin, Gustau Camps-Valls, Luis Gómez-Chova, Gonzalo Mateo-García, Christiaan van der Tol, Yongguang Zhang, Luis Guanter:
Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations. CoRR abs/2012.12101 (2020)
2010 – 2019
- 2019
- [c10]Gonzalo Mateo-Garcia, José E. Adsuara, Adrián Pérez-Suay, Luis Gómez-Chova:
Convolutional Long Short-Term Memory Network for Multitemporal Cloud Detection Over Landmarks. IGARSS 2019: 210-213 - [c9]Gonzalo Mateo-García, Valero Laparra, Luis Gómez-Chova:
Domain Adaptation of Landsat-8 and Proba-V Data Using Generative Adversarial Networks for Cloud Detection. IGARSS 2019: 712-715 - [i1]Gonzalo Mateo-Garcia, Silviu Oprea, Lewis Smith, Josh Veitch-Michaelis, Guy Schumann, Yarin Gal, Atilim Günes Baydin, Dietmar Backes:
Flood Detection On Low Cost Orbital Hardware. CoRR abs/1910.03019 (2019) - 2018
- [j2]Ana B. Ruescas, Martin Hieronymi, Gonzalo Mateo-Garcia, Sampsa S. Koponen, Kari Y. Kallio, Gustau Camps-Valls:
Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data. Remote. Sens. 10(5): 786 (2018) - [j1]Gonzalo Mateo-Garcia, Luis Gómez-Chova, Julia Amorós-López, Jordi Muñoz-Marí, Gustau Camps-Valls:
Multitemporal Cloud Masking in the Google Earth Engine. Remote. Sens. 10(7): 1079 (2018) - [c8]Ana B. Ruescas, Gonzalo Mateo-Garcia, Gustau Camps-Valls, Martin Hieronymi:
Retrieval of Case 2 Water Quality Parameters with Machine Learning. IGARSS 2018: 124-127 - [c7]Gonzalo Mateo-Garcia, Luis Gómez-Chova:
Convolutional Neural Networks for Cloud Screening: Transfer Learning from Landsat-8 to Proba-V. IGARSS 2018: 2103-2106 - [c6]Gonzalo Mateo-Garcia, Valero Laparra, Luis Gómez-Chova:
Optimizing Kernel Ridge Regression for Remote Sensing Problems. IGARSS 2018: 4007-4010 - 2017
- [c5]Gonzalo Mateo-Garcia, Jordi Muñoz-Marí, Luis Gómez-Chova:
Cloud detection on the Google Earth engine platform. IGARSS 2017: 1942-1945 - [c4]Luis Gómez-Chova, Gonzalo Mateo-Garcia, Jordi Muñoz-Marí, Gustau Camps-Valls:
Cloud detection machine learning algorithms for PROBA-V. IGARSS 2017: 2251-2254 - [c3]Gonzalo Mateo-Garcia, Luis Gómez-Chova, Gustau Camps-Valls:
Convolutional neural networks for multispectral image cloud masking. IGARSS 2017: 2255-2258 - [c2]R. Q. Iannone, Fabrizio Niro, Philippe Goryl, Steffen Dransfeld, Bianca Hoersch, Kerstin Stelzer, Grit Kirches, M. Paperin, Carsten Brockmann, Luis Gómez-Chova, Gonzalo Mateo-Garcia, Rene Preusker, Jürgen Fischer, Umberto Amato, Carmine Serio, Ute Gangkofner, Béatrice Berthelot, Marian-Daniel Iordache, Luc Bertels, Erwin Wolters, Wouter Dierckx, Iskander Benhadj, Else Swinnen:
Proba-V cloud detection Round Robin: Validation results and recommendations. MultiTemp 2017: 1-8 - [c1]Adrián Pérez-Suay, Valero Laparra, Gonzalo Mateo-Garcia, Jordi Muñoz-Marí, Luis Gómez-Chova, Gustau Camps-Valls:
Fair Kernel Learning. ECML/PKDD (1) 2017: 339-355
Coauthor Index
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