Gonzalo Mateo-Garcia

Orcid: 0000-0002-0569-393X

According to our database1, Gonzalo Mateo-Garcia authored at least 22 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Fast Model Inference and Training On-Board of Satellites.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Onboard Cloud Detection and Atmospheric Correction with Deep Learning Emulators.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Lessons Learned From Cloudsen12 Dataset: Identifying Incorrect Annotations in Cloud Semantic Segmentation Datasets.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2021
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V Images for Cloud Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Benchmarking Deep Learning Models for Cloud Detection in Landsat-8 and Sentinel-2 Images.
Remote. Sens., 2021

Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation.
CoRR, 2021

Unsupervised Change Detection of Extreme Events Using ML On-Board.
CoRR, 2021

2020
Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations.
CoRR, 2020

Pix2Streams: Dynamic Hydrology Maps from Satellite-LiDAR Fusion.
CoRR, 2020

2019
Flood Detection On Low Cost Orbital Hardware.
CoRR, 2019

Domain Adaptation of Landsat-8 and Proba-V Data Using Generative Adversarial Networks for Cloud Detection.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Convolutional Long Short-Term Memory Network for Multitemporal Cloud Detection Over Landmarks.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data.
Remote. Sens., 2018

Multitemporal Cloud Masking in the Google Earth Engine.
Remote. Sens., 2018

Retrieval of Case 2 Water Quality Parameters with Machine Learning.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Optimizing Kernel Ridge Regression for Remote Sensing Problems.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Convolutional Neural Networks for Cloud Screening: Transfer Learning from Landsat-8 to Proba-V.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Fair Kernel Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017


Cloud detection on the Google Earth engine platform.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Convolutional neural networks for multispectral image cloud masking.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Cloud detection machine learning algorithms for PROBA-V.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017


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