212 citations · 288 across the 6 of their papers we have counts for
8 papers
Cloud detection machine learning algorithms for PROBA-V
Luis Gómez-Chova, Gonzalo Mateo-García, Jordi Muñoz-Marí +1
This paper presents the development and implementation of a cloud detection algorithm for Proba-V. Accurate and automatic detection of clouds in satellite scenes is a key issue for…
Convolutional Neural Networks for Multispectral Image Cloud Masking
Gonzalo Mateo-García, Luis Gómez-Chova, Gustau Camps-Valls
Convolutional neural networks (CNN) have proven to be state of the art methods for many image classification tasks and their use is rapidly increasing in remote sensing problems. O…
Pattern Recognition Scheme for Large-Scale Cloud Detection over Landmarks
Adrián Pérez-Suay, Julia Amorós-López, Luis Gómez-Chova +3
Landmark recognition and matching is a critical step in many Image Navigation and Registration (INR) models for geostationary satellite services, as well as to maintain the geometr…
Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations
Aleksandra Wolanin, Gustau Camps-Valls, Luis Gómez-Chova +4
Satellite remote sensing has been widely used in the last decades for agricultural applications, {both for assessing vegetation condition and for subsequent yield prediction.} Exis…
Randomized kernels for large scale Earth observation applications
Adrián Pérez-Suay, Julia Amorós-López, Luis Gómez-Chova +3
Dealing with land cover classification of the new image sources has also turned to be a complex problem requiring large amount of memory and processing time. In order to cope with…
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud Detection
Gonzalo Mateo-García, Valero Laparra, Dan López-Puigdollers +1
The number of Earth observation satellites carrying optical sensors with similar characteristics is constantly growing. Despite their similarities and the potential synergies among…
Fair Kernel Learning
Adrián Pérez-Suay, Valero Laparra, Gonzalo Mateo-García +3
New social and economic activities massively exploit big data and machine learning algorithms to do inference on people's lives. Applications include automatic curricula evaluation…
Optimized Kernel Entropy Components
Emma Izquierdo-Verdiguier, Valero Laparra, Robert Jenssen +2
This work addresses two main issues of the standard Kernel Entropy Component Analysis (KECA) algorithm: the optimization of the kernel decomposition and the optimization of the Gau…