Multifidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models
Author:
Affiliation:
1. Image Processing Laboratory, University of Valencia, Valencia, Spain
2. Escuela Técnica Superior de Ingeniería de Telecomunicación, University Rey Juan Carlos, Madrid, Spain
Funder
Young Researchers Research and Development Project by the Community of Madrid and Rey Juan Carlos University
Agencia Estatal de Investigacion AEI
European Research Council (ERC) through the ERC-2017-STG SENTIFLEX Project
ERC through the ERC-CoG-2019 USMILE Project
Marie Curie ETN iMIRACLI
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10198286.pdf?arnumber=10198286
Reference47 articles.
1. The PRISMA imaging spectroscopy mission: overview and first performance analysis
2. Principal component-based radiative transfer model for hyperspectral sensors: theoretical concept
3. Principal component analysis
4. Sen2Cor for Sentinel-2
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1. Gaussian Process Regression Hybrid Models for the Top-of-Atmosphere Retrieval of Vegetation Traits Applied to PRISMA and EnMAP Imagery;Remote Sensing;2024-03-29
2. Multioutput Feature Selection for Emulation and Sensitivity Analysis;IEEE Transactions on Geoscience and Remote Sensing;2024
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