558 citations · 1.5k across the 19 of their papers we have counts for
20 papers
Learning User's confidence for active learning
Devis Tuia, Jordi Munoz-Mari
In this paper, we study the applicability of active learning in operative scenarios: more particularly, we consider the well-known contradiction between the active learning heurist…
A survey of active learning algorithms for supervised remote sensing image classification
Devis Tuia, Michele Volpi, Loris Copa +2
Defining an efficient training set is one of the most delicate phases for the success of remote sensing image classification routines. The complexity of the problem, the limited te…
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…