Publicaciones en las que colabora con JOCHEM VERRELST - (35)

2024

  1. Multioutput Feature Selection for Emulation and Sensitivity Analysis

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, pp. 1-11

2023

  1. Multifidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 61

2022

  1. Systematic Assessment of MODTRAN Emulators for Atmospheric Correction

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 60

2020

  1. Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data

    ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 167, pp. 289-304

  2. Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks

    Global Change Biology, Vol. 26, Núm. 9, pp. 5235-5253

  3. Retrieval of aboveground crop nitrogen content with a hybrid machine learning method

    International Journal of Applied Earth Observation and Geoinformation, Vol. 92

  4. Statistical biophysical parameter retrieval and emulation with Gaussian processes

    Data Handling in Science and Technology (Elsevier Ltd), pp. 333-368

2019

  1. Fusing optical and SAR time series for LAI gap fillingwith multioutput Gaussian processes

    Remote Sensing of Environment, Vol. 235

  2. Gradient-based automatic lookup table generator for radiative transfer models

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, Núm. 2, pp. 1040-1048

  3. Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods

    Surveys in Geophysics, Vol. 40, Núm. 3, pp. 589-629

2018

  1. Advances in kernel machines for image classification and biophysical parameter retrieval

    Signals and Communication Technology (Springer), pp. 399-441

  2. Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 11, Núm. 12, pp. 4918-4931

  3. STATISTICAL LEARNING FOR END-TO-END SIMULATIONS

    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM

  4. Statistical learning for end-to-end simulations

    International Geoscience and Remote Sensing Symposium (IGARSS)

2017

  1. Hyperspectral dimensionality reduction for biophysical variable statistical retrieval

    ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 132, pp. 88-101

  2. SCOPE-based emulators for fast generation of synthetic canopy reflectance and sun-induced fluorescence Spectra

    Remote Sensing, Vol. 9, Núm. 9

2016

  1. A survey on Gaussian processes for earth-observation data analysis: A comprehensive investigation

    IEEE Geoscience and Remote Sensing Magazine, Vol. 4, Núm. 2, pp. 58-78

  2. Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval

    IEEE Geoscience and Remote Sensing Letters, Vol. 13, Núm. 7, pp. 1012-1016

  3. Emulation of leaf, canopy and atmosphere radiative transfer models for fast global sensitivity analysis

    Remote Sensing, Vol. 8, Núm. 8

  4. Learning structures in earth observation data with gaussian processes

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)