138 citations · 213 across the 14 of their papers we have counts for
15 papers
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…
A deep network approach to multitemporal cloud detection
Devis Tuia, Benjamin Kellenberger, Adrian Pérez-Suay +1
We present a deep learning model with temporal memory to detect clouds in image time series acquired by the Seviri imager mounted on the Meteosat Second Generation (MSG) satellite.…
Consistent regression of biophysical parameters with kernel methods
Emiliano Díaz, Adrián Pérez-Suay, Valero Laparra +1
This paper introduces a novel statistical regression framework that allows the incorporation of consistency constraints. A linear and nonlinear (kernel-based) formulation are intro…
Randomized RX for target detection
Fatih Nar, Adrián Pérez-Suay, José Antonio Padrón +1
This work tackles the target detection problem through the well-known global RX method. The RX method models the clutter as a multivariate Gaussian distribution, and has been exten…
Nonlinear Cook distance for Anomalous Change Detection
José A. Padrón Hidalgo, Adrián Pérez-Suay, Fatih Nar +1
In this work we propose a method to find anomalous changes in remote sensing images based on the chronochrome approach. A regressor between images is used to discover the most {\em…