Publications

Journal papers

Dissecting the effectiveness of deep features as metric of perceptual image quality
Pablo Hernandez-Camara, Jorge Vila-Tomas, Valero Laparra, Jesus Malo
Neural Networks (2025)

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Estimating Information Theoretic Measures via Multidimensional Gaussianization
Valero Laparra, J Emmanuel Johnson, Gustau Camps-Valls, Raul Santos-Rodriguez, Jesus Malo
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)

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GDN Python code

Alignment of color discrimination in humans and image segmentation networks
Pablo Hernandez-Camara, P Dauden-Oliver,, Valero Laparra, Jesus Malo
Frontiers in Psychology (2024)

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Neural networks with divisive normalization for image segmentation
Pablo Hernandez-Camara, Jorge Vila-Tomas, Valero Laparra, Jesus Malo
Pattern Recognition Letters (2023)

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GDN Python code

A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning
Sebastia Mijares i Verdu, Johannes Balle,Valero Laparra,Joan Bartrina-Rapesta,Miguel Hernandez-Cabronero and Joan Serra-Sagrista
Remote Sensing (2023)

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Retrieval of Physical Parameters With Deep Structured Kernel Regression
Gustau Camps-Valls; Manuel Campos-Taberner; Valero Laparra; Luca Martino; Jordi Munoz-Mari
IEEE Transactions on Geoscience and Remote Sensing (2022)

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Unsupervised Anomaly and Change Detection With Multivariate Gaussianization
J.A. Padron-Hidalgo, V. Laparra, and G. Camps-Valls
IEEE Transactions on Geoscience and Remote Sensing (2021)

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Python-Matlab-JAX code

Gaussianizing the Earth: Multidimensional Information Measures for Earth Data Analysis
J Emmanuel Johnson, Valero Laparra, Maria Piles, Gustau Camps-Valls
IEEE Geoscience and Remote Sensing Magazine (2021)

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Python code

Combined dynamics of the 500-600 nm leaf absorption and chlorophyll fluorescence changes in vivo: Evidence for the multifunctional energy quenching role of xanthophylls
Shari Van Wittenberghe, Valero Laparra, Jose Ignacio Garcia-Plazaola, Beatriz Fernandez-Marin, Albert Porcar-Castell, Jose Moreno
Biochimica et Biophysica Acta (BBA)-Bioenergetics (2021)

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Inference over Radiative Transfer Models using Variational and Expectation Maximization Methods
Svendsen, D.H. and Hernandez-Lobato, D. and Laparra, V. and Martino, L. and Moreno-Martinez, A. and Camps-Valls, G.
Machine Learning (2021)

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Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud Detection
Gonzalo Mateo-Garcia, Valero Laparra, Dan Lopez-Puigdollers, Luis Gomez-Chova
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, (2020)

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Python code

Efficient Kernel Cook's Distance for Remote Sensing Anomalous Change Detection
Padron-Hidalgo, J.A. and Perez-Suay, A. and Nar, F. and Laparra, V. and Camps-Valls, G.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , (2020)

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Matlab code

Kernel methods and their derivatives: Concept and perspectives for the Earth system sciences
Johnson, J. E. and Laparra, V. and Perez-Suay, A. and Mahecha, M. and Camps-Valls, G.
PLOS One, (2020)

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Python code

Accounting for Input Noise in Gaussian Process Parameter Retrieval
J. E. Johnson, V. Laparra, and G. Camps-Valls.
IEEE Geoscience and Remote Sensing Letters, (2020)

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Python code

Transferring deep learning models for cloud detection between Landsat-8 and Proba-V
G. Mateo-Garcia, V. Laparra, D. Lopez-Puigdollers, L. Gomez-Chova
ISPRS Journal of Photogrammetry and Remote Sensing, (2020)

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Database

Statistical Retrieval of Atmospheric Profiles with Deep Convolutional Neural Networks
Malmgren-Hansen, D. and Laparra, V. and Nielsen, A.A. and Camps-Valls, G.
ISPRS Journal of Photogrammetry and Remote Sensing, (2019)

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Kernel Anomalous Change Detection for Remote Sensing Imagery
J. A. Padrón-Hidalgo, V. Laparra, N. Longbotham, and G. Camps-Valls.
Transactions on Geoscience and Remote Sensing, (2019)

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Matlab code

Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data
J. García-Sobrino, V. Laparra, J. Serra-Sagristà, X. Calbet, & G. Camps-Valls
Transactions on Geoscience and Remote Sensing, (2019)

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Physics-aware Gaussian processes in remote sensing
G. Camps-Valls, L. Martino, D. H. Svendsen, M. Campos-Taberner, J. Munoz-Marí, V. Laparra, D. Luengo, F. J. García-Haro
Applied Soft Computing, (2018)

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Derivation of global vegetation biophysical parameters from EUMETSAT Polar System
F. J. García-Haro, M. Campos-Taberner, J. Munoz-Marí, V. Laparra, F. Camacho, J. Sánchez-Zapero, G. Camps-Valls
ISPRS Journal of Photogrammetry and Remote Sensing, (2018)

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HyperLabelMe: A web platform for benchmarking remote-sensing image classifiers
J. Munoz-Marí, E. Izquierdo-Verdiguier, M. Campos-Taberner, A. Pérez-Suay, L. Gómez-Chova, G. Mateo-Garcia, A. B. Ruescas, V. Laparra, J. A. Padron, J. Amorós-López and G. Camps-Valls
IEEE Geoscience and Remote Sensing Magazine, (2018)

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Database

Perceptually Optimized Image Rendering.
Valero Laparra, Alexander Berardino, Johannes Ballé and Eero P. Simoncelli
Journal of the Optical Society of America A, (2017)

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Matlab & Python (Theano) code

NLPD PyTorch (by Alex Hepburn)

NLPD Tensorflow

Randomized kernels for large scale Earth observation applications.
Adrián Pérez-Suay, Julia Amorós-López, Luis Gómez-Chova, Valero Laparra, Jordi Muñoz-Marí & Gustau Camps-Valls
Remote Sensing of Environment (2017)

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Statistical Atmospheric Parameter Retrieval Largely Benefits from Spatial-Spectral Image Compression.
Joaquín García-Sobrino, Joan Serra-Sagristà, Valero Laparra, Xavier Calbet, & Gustau Camps-Valls
IEEE Transactions on Geoscience and Remote Sensing (2016)

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Regression Wavelet Analysis for Lossless Coding of Remote-Sensing Data.
Naoufal Amrani, Joan Serra-Sagristà, Valero Laparra, Michael W. Marcellin, & Jesus Malo
IEEE Transactions on Geoscience and Remote Sensing, V. 54, N. 9 (2016)

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Optimized Kernel Entropy Components.
E. Izquierdo-Verdiguier, V. Laparra, R. Jenssen, L. Gómez-Chova, & G. Camps-Valls.
IEEE Transactions on Neural Networks and Learning Systems (2016)

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Matlab code

A Survey on Gaussian Processes for Earth Observation Data Analysis: A Comprehensive Investigation.
G. Camps-Valls, J. Verrelst, J. Muñoz-Marí, V. Laparra, F. Mateo-Jiménez, & J. Gómez-Dans.
IEEE Geoscience and Remote Sensing Magazine (6) (2016)

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Visual aftereffects and sensory nonlinearities from a single statistical framework.
V. Laparra & J. Malo
Frontiers in Human Neuroscience, (2015)

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Matlab code

Database

Dimensionality Reduction via Regression in Hyperspectral Imagery.
V. Laparra, J. Malo & G. Camps-Valls
IEEE Journal of selected topics in signal processing, (2015)

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Matlab code

R code

Python code

Principal Polynomial Analysis.
V. Laparra, S. Jiménez, D. Tuia, G. Camps-Valls & J. Malo
International Journal Neural Systems, (2014)

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Matlab code

Spatio-Chromatic Adaptation via Higher-Order Canonical Correlation Analysis of Natural Images.
M. U. Gutmann, V. Laparra, A. Hyvärinen, & J. Malo
Plos ONE, (2014)

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Matlab code matlab

Database

Encoding Invariances in Remote Sensing Image Classification with SVM.
E. Izquierdo-Verdiguier, V. Laparra, L. Gómez-Chova & G. Camps-Valls
IEEE Geoscience and Remote Sensing Letters, 7(4), 1-5, (2013)

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Matlab code

Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis.
V. Laparra, S. Jiménez, G. Camps-Valls & J. Malo
Neural Computation, vol 24, No. 10:2751-2788, (2012)

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Matlab code

Iterative Gaussianization: from ICA to Random Rotations.
V. Laparra, G. Camps & J. Malo
IEEE Transactions on Neural Networks, 22:4, 537 - 549, (2011)

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Matlab code

Python code (by J. E. Johnson)

JAX code (by J. E. Johnson)

Psychophysically Tuned Divisive Normalization factorizes the PDF of Natural Images.
J. Malo & V. Laparra
Neural Computation, (2010)

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Matlab code

Divisive Normalization Image Quality Metric Revisited.
V. Laparra, J. Muñoz & J.Malo
Journal of the Optical Society of America A, (2010)

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Matlab code

Image Denoising with Kernels based on Natural Image Relations.
V. Laparra, J. Gutiérrez, G. Camps & J. Malo
Journal of Machine Learning Research, (2010)

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Matlab code