Publicaciones en las que colabora con VALERO LAPARRA PEREZ-MUELAS (61)

2023

  1. Inference over radiative transfer models using variational and expectation maximization methods

    Machine Learning, Vol. 112, Núm. 3, pp. 921-937

2022

  1. Retrieval of Physical Parameters With Deep Structured Kernel Regression

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 60

  2. Unsupervised Anomaly and Change Detection With Multivariate Gaussianization

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 60

2021

  1. Erratum: Correction: Kernel methods and their derivatives: Concept and perspectives for the earth system sciences (PloS one (2020) 15 10 (e0235885))

    PloS one

  2. Gaussianizing the Earth: Multidimensional information measures for Earth data analysis

    IEEE Geoscience and Remote Sensing Magazine, Vol. 9, Núm. 4, pp. 191-208

2020

  1. Accounting for Input Noise in Gaussian Process Parameter Retrieval

    IEEE Geoscience and Remote Sensing Letters, Vol. 17, Núm. 3, pp. 391-395

  2. Efficient kernel cook's distance for remote sensing anomalous change detection

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 13, pp. 5480-5488

  3. Kernel methods and their derivatives: Concept and perspectives for the earth system sciences

    PLoS ONE, Vol. 15, Núm. 10 October

  4. Statistical biophysical parameter retrieval and emulation with Gaussian processes

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

2019

  1. Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, Núm. 8, pp. 5651-5668

  2. Kernel Anomalous Change Detection for Remote Sensing Imagery

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, Núm. 10, pp. 7743-7755

  3. Statistical retrieval of atmospheric profiles with deep convolutional neural networks

    ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 158, pp. 231-240

2018

  1. CONSISTENT REGRESSION OF BIOPHYSICAL PARAMETERS WITH KERNEL METHODS

    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM

  2. Consistent regression of biophysical parameters with kernel methods

    International Geoscience and Remote Sensing Symposium (IGARSS)

  3. DISENTANGLING DERIVATIVES, UNCERTAINTY AND ERROR IN GAUSSIAN PROCESS MODELS

    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM

  4. Derivation of global vegetation biophysical parameters from EUMETSAT Polar System

    ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 139, pp. 57-74

  5. Disentangling derivatives, uncertainty and error in Gaussian process models

    International Geoscience and Remote Sensing Symposium (IGARSS)

  6. GENERATION OF GLOBAL VEGETATION PRODUCTS FROM EUMETSAT AVHRR/METOP SATELLITES

    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM

  7. Generation of global vegetation products from EUMETSAT AVHRR/METOP satellites

    International Geoscience and Remote Sensing Symposium (IGARSS)

  8. Physics-aware Gaussian processes in remote sensing

    Applied Soft Computing Journal, Vol. 68, pp. 69-82