558 citations · 1.5k across the 19 of their papers we have counts for
16 papers · 1 filter
Learning Structures in Earth Observation Data with Gaussian Processes
Fernando Mateo, Jordi Munoz-Mari, Valero Laparra +2
Gaussian Processes (GPs) has experienced tremendous success in geoscience in general and for bio-geophysical parameter retrieval in the last years. GPs constitute a solid Bayesian…
Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes
Anna Mateo-Sanchis, Jordi Munoz-Mari, Manuel Campos-Taberner +2
In this work we evaluate multi-output (MO) Gaussian Process (GP) models based on the linear model of coregionalization (LMC) for estimation of biophysical parameter variables under…
Synergistic Integration of Optical and Microwave Satellite Data for Crop Yield Estimation
Anna Mateo-Sanchis, Maria Piles, Jordi Muñoz-Marí +3
Developing accurate models of crop stress, phenology and productivity is of paramount importance, given the increasing need of food. Earth observation remote sensing data provides…
Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference
Anna Mateo-Sanchis, Jordi Muñoz-Marí, Adrián Pérez-Suay +1
This paper introduces warped Gaussian processes (WGP) regression in remote sensing applications. WGP models output observations as a parametric nonlinear transformation of a GP. Th…
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…
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…