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JOURNAL PUBLICATIONS
"This material is presented to ensure
timely dissemination of scholarly and technical work. Copyright and all
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All persons copying this information are expected to adhere to the
terms and constraints invoked by each author's copyright. In most
cases, these works may not be reposted without the explicit permission
of the copyright holder."
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| 2023 |
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Global flood extent segmentation in optical satellite images
E. Portalés-Julià, G. Mateo-García, C. Purcell, and L. Gómez-Chova
Nature Scientific Reports
13
20316
(2023)
doi:10.1038/s41598-023-47595-7
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Semantic segmentation of methane plumes with hyperspectral machine learning models
V. Ruzicka, G. Mateo-Garcia, L. Gómez-Chova, A. Vaughan, L. Guanter, and A. Markham
Nature Scientific Reports
13
19999
(2023)
doi:10.1038/s41598-023-44918-6
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Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation
A. Kaps, A. Lauer, G. Camps-Valls, P. Gentine, L. Gómez-Chova, and V. Eyring
IEEE Transactions on Geoscience and Remote Sensing
61
1-15
(2023)
doi:10.1109/TGRS.2023.3237008
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Multi-spectral multi-image super-resolution of Sentinel-2 with radiometric consistency losses and its effect on building delineation
M. T. Razzak, G. Mateo-García, G. Lecuyer, L. Gómez-Chova, Y. Gal, and F. Kalaitzis
ISPRS Journal of Photogrammetry and Remote Sensing
195
1-13
(2023)
doi:10.1016/j.isprsjprs.2022.10.019
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| 2022 |
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CloudSEN12, a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2
C. Aybar, L. Ysuhuaylas, J. Loja, K. Gonzales, F. Herrera, L. Bautista, R. Yali, A. Flores, L. Diaz, N. Cuenca, W. Espinoza, F. Prudencio, V. Llactayo, D. Montero, M. Sudmanns, D. Tiede, G. Mateo-García, and L. Gómez-Chova
Scientific Data
9
1-17
(2022)
doi:10.1038/s41597-022-01878-2
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Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2
S. Skakun, J. Wevers, C. Brockmann, G. Doxani, M. Aleksandrov, M. Batič, D. Frantz, F. Gascon, L. Gómez-Chova, O. Hagolle, D. López-Puigdollers, J. Louis, M. Lubej, G. Mateo-García, J. Osman, D. Peressutti, B. Pflug, J. Puc, R. Richter, J.-C. Roger, P. Scaramuzza, E. Vermote, N. Vesel, A. Zupanc, and L. Žust
Remote Sensing of Environment,
274,
112990,
2022.
doi:10.1016/j.rse.2022.112990
|
| 2021 |
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Towards a novel approach for Sentinel-3 synergistic OLCI/SLSTR cloud and cloud shadow detection based on stereo cloud-top height estimation
Roberto Fernandez-Moran, Luis Gómez-Chova, Luis Alonso, Gonzalo Mateo-García, Dan López-Puigdollers
ISPRS Journal of Photogrammetry and Remote Sensing,
181, pp. 238-253,
2021.
doi:10.1016/j.isprsjprs.2021.09.013
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Benchmarking Deep Learning Models for Cloud Detection in Landsat-8 and Sentinel-2 Images
Dan López-Puigdollers, Gonzalo Mateo-García, Luis Gómez-Chova
Remote Sensing,
13,
992,
2021.
doi:10.3390/rs13050992
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Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V Images for Cloud Detection
Gonzalo Mateo-García, Valero Laparra, Dan López-Puigdollers, Luis Gómez-Chova
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
14, pp. 747-761,
2021.
doi:10.1109/JSTARS.2020.3031741
|
| 2020 |
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Transferring deep learning models for cloud detection between Landsat-8 and Proba-V
Gonzalo Mateo-García, Valero Laparra, Dan López-Puigdollers, Luis Gómez-Chova
ISPRS Journal of Photogrammetry and Remote Sensing,
160, pp. 1-17,
2020.
doi:10.1016/j.isprsjprs.2019.11.024
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Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt
Aleksandra Wolanin, Gonzalo Mateo-García, Gustau Camps-Valls, Luis Gómez-Chova, Michele Meroni, Gregory Duveiller, You Liangzhi, Luis Guanter
Environmental Research Letters,
15(2), 024019, 1-12,
2020.
doi:10.1088/1748-9326/ab68ac
|
| 2019 |
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Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations
Aleksandra Wolanin, Gustau Camps-Valls, Luis Gómez-Chova, Gonzalo Mateo-García, Christiaan van der Tol, Yongguang Zhang, Luis Guanter
Remote Sensing of Environment,
225, pp. 441-457,
2019.
doi:10.1016/j.rse.2019.03.002
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| 2018 |
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Signal-to-Noise Ratio in reproducing kernel Hilbert spaces
Luis Gómez-Chova, Raúl Santos-Rodríguez, and Gustau Camps-Valls
Pattern Recognition Letters,
112, pp. 75-82,
2018.
doi:10.1016/j.patrec.2018.06.004
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Multitemporal Cloud Masking in the Google Earth Engine
Gonzalo Mateo-García, Luis Gómez-Chova, Julia Amorós-López, Jordi Muñoz-Marí, and Gustau Camps-Valls
Remote Sensing,
10(7), 1079,
2018.
doi:10.3390/rs10071079
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Pattern Recognition Scheme for Large-Scale Cloud Detection Over Landmarks
Adrián Pérez-Suay, Julia Amorós-López, Luis Gómez-Chova, Jordi Muñoz-Marí, Dieter Just, Gustau Camps-Valls
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
11(11), pp. 3977-3987,
2018.
doi:10.1109/JSTARS.2018.2863383
|
| 2017 |
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Cloud masking and removal in remote sensing image time series
Luis Gómez-Chova, Julia Amorós-López, Gonzalo Mateo-García, Jordi Muñoz-Marí, and Gustau Camps-Valls
Journal of Applied Remote Sensing,
11(1), 015005,
2017.
doi:10.1117/1.JRS.11.015005
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Optimized Kernel Entropy Components
E. Izquierdo-Verdiguier, V. Laparra, R. Jenssen, L. Gómez-Chova, and G. Camps-Valls
IEEE Transactions on Neural Networks and Learning Systems,
28(6), pp. 1466-1472,
2017.
doi:10.1109/TNNLS.2016.2530403
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Diurnal Cycle Relationships between Passive Fluorescence, PRI and NPQ of Vegetation in a Controlled Stress Experiment
Luis Alonso, Shari Van Wittenberghe, Julia Amorós-López, Joan Vila-Francés, Luis Gómez-Chova, and Jose Moreno
Remote Sensing,
9(8), pp. 1-16,
2017.
doi:10.3390/rs9080770
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A Cloud masking algorithm for the XBAER aerosol retrieval using MERIS data
Linlu Mei, Marco Vountas, Luis Gómez-Chova, Vladimir Rozanov, Malte Jäger, Wolfhardt Lotz, John P. Burrows, and Rainer Hollmann
Remote Sensing of Environment,
197, pp. 141-160,
2017.
doi:10.1016/j.rse.2016.11.016
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Randomized kernels for large scale Earth observation applications
Adrián Pérez-Suay, Julia Amorós-López, Luis Gómez-Chova, Valero Laparra, Jordi Muñoz-Marí, and Gustau Camps-Valls
Remote Sensing of Environment,
202, pp. 54-63,
2017.
doi:10.1016/j.rse.2017.02.009
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HyperLabelMe : A Web Platform for Benchmarking Remote-Sensing Image Classifiers
J. Muñoz-Marí, E. Izquierdo-Verdiguier, M. Campos-Taberner, A. Perez-Suay, L. Gómez-Chova, G. Mateo-García, A. B. Ruescas, V. Laparra, J. A. Padrón, J. Amorós-López, and G. Camps-Valls
IEEE Geoscience and Remote Sensing Magazine,
5(4), pp. 79-85,
2017.
doi:10.1109/MGRS.2017.2762476
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| 2015 |
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Multimodal Classification of Remote Sensing Images: A Review and Future Directions
L. Gómez-Chova, D. Tuia, G. Moser, and G. Camps-Valls
Proceedings of the IEEE,
103(9), pp. 1560-1584,
2015.
doi:10.1109/JPROC.2015.2449668
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-
Spectral clustering with the probabilistic cluster kernel
E. Izquierdo-Verdiguier, R. Jenssen, L. Gómez-Chova, and G. Camps-Valls
Neurocomputing,
149(Part C), pp. 1299-1304,
2015.
doi:10.1016/j.neucom.2014.08.068
|
| 2014 |
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Semisupervised Kernel Feature Extraction for Remote Sensing Image Analysis
E. Izquierdo-Verdiguier, L. Gómez-Chova, L. Bruzzone, and G. Camps-Valls
IEEE Trans. on Geoscience and Remote Sensing,
52(9), pp. 5567-5578,
2014.
doi:10.1109/TGRS.2013.2290372
|
| 2013 |
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GRSS Publications Awards Presented at IGARSS 2013 Banquet [Conference Reports]
M. Hallikainen and W. Wiesbeck
Geoscience and Remote Sensing Magazine, IEEE,
1(4), pp. 32-43,
2013.
doi:10.1109/MGRS.2013.2289863
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-
Encoding Invariances in Remote Sensing Image Classification With SVM
E. Izquierdo-Verdiguier, V. Laparra, L. Gómez-Chova, and G. Camps-Valls
IEEE Geoscience and Remote Sensing Letters,
10(5), pp. 981-985,
2013.
doi:10.1109/LGRS.2012.2227297
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Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring
Julia Amorós-López, Luis Gómez-Chova, Luis Alonso, Luis Guanter, Raúl Zurita-Milla, José Moreno, and Gustavo Camps-Valls
International Journal of Applied Earth Observation and Geoinformation,
23(0), pp. 132-141,
2013.
doi:10.1016/j.jag.2012.12.004
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Spectro-temporal reflectance surfaces: a new conceptual framework for the integration of remote-sensing data from multiple different sensors
Guillermo Villa, José Moreno, Alfonso Calera, Julia Amorós-López, Gustavo Camps-Valls, Emilio Domenech, Jesús Garrido, Javier González-Matesanz, Luis Gómez-Chova, Jose Ángel Martínez, Sergio Molina, Juan José Peces, Nuria Plaza, Ana Porcuna, José Antonio Tejeiro, and Nuria Valcárcel
International Journal of Remote Sensing,
34(9-10), pp. 3699-3715,
2013.
doi:10.1080/01431161.2012.716910
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Multitask Remote Sensing Data Classification
J.M. Leiva-Murillo, L. Gómez-Chova, and G. Camps-Valls
IEEE Trans. on Geoscience and Remote Sensing,
51(1), pp. 151-161,
2013.
doi:10.1109/TGRS.2012.2200043
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Graph Matching for Adaptation in Remote Sensing
D. Tuia, J. Muñoz-Marí, L. Gómez-Chova, and J. Malo
IEEE Trans. on Geoscience and Remote Sensing,
51(1), pp. 329-341,
2013.
doi:10.1109/TGRS.2012.2200045
| 2012 |
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Kernel Entropy Component Analysis for Remote Sensing Image Clustering
L. Gómez-Chova, R. Jenssen, and G. Camps-Valls
IEEE Geoscience and Remote Sensing Letters,
9(2), pp. 312-316,
2012.
doi:10.1109/LGRS.2011.2167212
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Nonlinear Statistical Retrieval of Atmospheric Profiles From MetOp-IASI and MTG-IRS Infrared Sounding Data
G. Camps-Valls, J. Muñoz-Marí and, L. Gómez-Chova, L. Guanter, and X. Calbet
IEEE Trans. on Geoscience and Remote Sensing,
50(5), pp. 1759-1769,
2012.
doi:10.1109/TGRS.2011.2168963
|
| 2011 |
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Multitemporal Unmixing of Medium-Spatial-Resolution Satellite Images: A Case Study Using MERIS Images for Land-Cover Mapping
R. Zurita-Milla, L. Gómez-Chova, L. Guanter, J. G. P. W. Clevers, and G. Camps-Valls
IEEE Trans. on Geoscience and Remote Sensing,
49(11), pp. 4308-4317,
2011.
doi:10.1109/TGRS.2011.2158320
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Regularized Multiresolution Spatial Unmixing for ENVISAT/MERIS and Landsat/TM Image Fusion
J. Amorós-López, L. Gómez-Chova, L. Alonso, L. Guanter, J. Moreno, and G. Camps-Valls
IEEE Geoscience and Remote Sensing Letters,
8(5), pp. 844-848,
2011.
doi:10.1109/LGRS.2011.2120591
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Gridding Artifacts on Medium-Resolution Satellite Image Time Series: MERIS Case Study
L. Gómez-Chova, R. Zurita-Milla, L. Alonso, J. Amorós-López, L. Guanter, and G. Camps-Valls
IEEE Trans. on Geoscience and Remote Sensing,
49(7), pp. 2601-2611,
2011.
doi:10.1109/TGRS.2011.2108660
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Land cover classification of VHR airborne images for citrus grove identification
J. Amorós-López, E. Izquierdo-Verdiguier, L. Gómez-Chova, J. Muñoz-Marí, J.Z. Rodríguez-Barreiro, G. Camps-Valls, and J. Calpe-Maravilla
ISPRS Journal of Photogrammetry and Remote Sensing,
66(1), pp. 115-123,
2011.
doi:10.1016/j.isprsjprs.2010.09.008
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Design of a configurable multispectral imaging system based on an AOTF
J. Vila-Frances, J. Calpe-Maravilla, L. Gómez-Chova, and J. Amorós-López
IEEE Trans. on Ultrasonics, Ferroelectrics and Frequency Control,
58(1), pp. 259-262,
2011.
doi:10.1109/TUFFC.2011.1795
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| 2010 |
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Developments for vegetation fluorescence retrieval from spaceborne high-resolution spectrometry in the O2-A and O2-B absorption bands
L. Guanter, L. Alonso, L. Gómez-Chova, M. Meroni, R. Preusker, J. Fischer, and J. Moreno
J. Geophys. Res.,
115(D19), pp. D19303,
2010.
doi:10.1029/2009JD013716
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Report on the 2009 European GRS-S PhD Excellence Awards
J. Chanussot, M. Esselborn, G. Ferraioli, L. Gomez-Chova, T. Peng, and R. Sabia.
IEEE Geoscience and Remote Sensing Society Newsletter,
156, pp. 27-31,
2010.
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Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data
J. Muñoz-Marí, F. Bovolo, L. Gómez-Chova, L. Bruzzone, and G. Camps-Valls
IEEE Trans. on Geoscience and Remote Sensing,
48(8), pp. 3188-3197,
2010.
doi:10.1109/TGRS.2010.2045764
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Mean Map Kernel Methods for Semisupervised Cloud Classification
L. Gómez-Chova, G. Camps-Valls, L. Bruzzone, and J. Calpe-Maravilla
IEEE Trans. on Geoscience and Remote Sensing,
48(1), pp. 207-220,
2010.
doi:10.1109/TGRS.2009.2026425
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Analysis of acousto-optic tunable filter performance for imaging applications
Joan Vila-Francés, Javier Calpe-Maravilla, Luis Gómez-Chova, and Julia Amorós-López
Optical Engineering,
49(11), pp. 113203,
2010.
doi:10.1117/1.3509243
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Improving the performance of acousto-optic tunable filters in imaging applications
Joan Vila-Francés, Javier Calpe-Maravilla, Luis Gómez-Chova, and Julia Amorós-López
Journal of Electronic Imaging,
19(4), pp. 043022,
2010.
doi:10.1117/1.3518139
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| 2009 |
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Biophysical Parameter Estimation with a Semisupervised Support Vector Machine
G. Camps-Valls, J. Muñoz-Marí, L. Gómez-Chova, Katja Richter, and J. Calpe-Maravilla
IEEE Geoscience and Remote Sensing Letters,
6(2), pp. 248-252,
2009.
doi:10.1109/LGRS.2008.2009077
|
| 2008 |
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Actualización del SIG citrícola de la Comunidad Valenciana mediante métodos automáticos supervisados
E. Izquierdo-Verdiguier, J. Amorós-López, L. Gómez-Chova, J. Muñoz-Marí, J. Z. Rodríguez-Barreiro, G. Camps-Valls, and J. Calpe-Maravilla
Revista de Teledetección (Revista de la Asociación Española de Teledetección),
30, pp. 23-32,
2008.
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Hyperspectral system for early detection of rottenness caused by Penicillium digitatum in mandarins
J. Gómez-Sanchis, L. Gómez-Chova, N. Aleixos, G. Camps-Valls, C. Montesinos-Herrero, E. Moltó, and J. Blasco
Journal of Food Engineering,
89(1), pp. 80-86,
2008.
doi:10.1016/j.jfoodeng.2008.04.009
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Correction of systematic spatial noise in push-broom hyperspectral sensors: application to CHRIS/PROBA images
Luis Gómez-Chova, Luis Alonso, Luis Guanter, Gustavo Camps-Valls, Javier Calpe, and José Moreno
Applied Optics,
47(28), pp. F46-F60,
2008.
doi:10.1364/AO.47.000F46
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Improved Fraunhofer Line Discrimination Method for Vegetation Fluorescence Quantification
Luis Alonso, Luis Gómez-Chova, Joan Vila-Francés, Julia Amorós-López, Luis Guanter, Javier Calpe, and Jose Moreno
IEEE Geoscience and Remote Sensing Letters,
5(4), pp. 620-624,
2008.
doi:10.1109/LGRS.2008.2001180
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Evaluation of remote sensing of vegetation fluorescence by the analysis of diurnal cycles
J. Amorós-López, L. Gómez-Chova, J. Vila-Francés, L. Alonso, J. Calpe, J. Moreno, and S. Del Valle-Tascon
Int. Journal of Remote Sensing,
29(17-18), pp. 5423-5436,
2008.
doi:10.1080/01431160802036391
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Semisupervised Image Classification with Laplacian Support Vector Machines
L. Gómez-Chova, G. Camps-Valls, J. Muñoz-Marí, and J. Calpe-Maravilla
IEEE Geoscience and Remote Sensing Letters,
5(3), pp. 336-340,
2008.
doi:10.1109/LGRS.2008.916070
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Kernel-based Framework for Multi-Temporal and Multi-Source Remote Sensing Data Classification and Change Detection
G. Camps-Valls, L. Gómez-Chova, J. Muñoz-Marí, J. L. Rojo-Álvarez, and M. Martínez-Ramón
IEEE Trans. on Geoscience and Remote Sensing,
46(6), pp. 1822-1835,
2008.
doi:10.1109/TGRS.2008.916201
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Coupled retrieval of aerosol optical thickness, columnar water vapor and surface reflectance maps from ENVISAT/MERIS data over land
Luis Guanter, Luis Gómez-Chova, and Jose Moreno
Remote Sensing of Environment,
112(6), pp. 2898-2913,
2008.
doi:10.1016/j.rse.2008.02.001
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An IP Core and GUI for Implementing Multilayer Perceptron with a Fuzzy Activation Function on Configurable Logic Devices
A. Rosado-Muñoz, E. Soria-Olivas, L. Gómez-Chova, and J. Vila Francés
Journal of Universal Computer Science,
14(10), pp. 1678-1694,
2008.
doi:10.3217/jucs-014-10-1678
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Automatic correction of the effects of the light source on spherical objects. An application to the analysis of hyperspectral images of citrus fruits
J. Gómez-Sanchis, E. Moltó, G. Camps-Valls, L. Gómez-Chova, N. Aleixos, and J. Blasco
Journal of Food Engineering,
85(2), pp. 191-200,
2008.
doi:10.1016/j.jfoodeng.2007.06.036
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| 2007 |
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Cloud-Screening Algorithm for ENVISAT/MERIS Multispectral Images
L. Gómez-Chova, G. Camps-Valls, J. Calpe, L. Guanter, and J. Moreno
IEEE Trans. on Geoscience and Remote Sensing,
45(12, Part 2), pp. 4105-4118,
2007.
doi:10.1109/TGRS.2007.905312
-
-
Weekly milk prediction on dairy goats using neural networks
C. Fernández, E. Soria, P. Sánchez-Seiquer, L. Gómez-Chova, R. Magdalena, J.D. Martín-Guerrero, M.J. Navarro, and A.J. Serrano
Neural Computing and Applications,
16(4-5), pp. 373-381,
2007.
doi:10.1007/s00521-006-0061-y
-
-
Estimation of solar-induced vegetation fluorescence from space measurements
L. Guanter, L. Alonso, L. Gómez-Chova, J. Amorós-López, J. Vila, and J. Moreno
Geophysical Research Letters,
34(8),
2007.
doi:10.1029/2007GL029289
|
| 2006 |
|
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Retrieval of oceanic chlorophyll concentration with relevance vector machines
Gustavo Camps-Valls, Luis Gómez-Chova, Jordi Muñoz-Marí, Joan Vila-Francés, Julia Amorós-López, and Javier Calpe-Maravilla
Remote Sensing of Environment,
105(1), pp. 23-33,
2006.
doi:10.1016/j.rse.2006.06.004
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Configurable-bandwidth imaging spectrometer based on an acousto-optic tunable filter
Joan Vila-Francés, Javier Calpe-Maravilla, Jordi Muñoz-Marí, Luis Gómez-Chova, Julia Amorós-López, Emilio Ribes-Gómez, and Vicente Durán-Bosch
Review of Scientific Instruments,
77(7),
2006.
doi:10.1063/1.2221542
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400- to 1000-nm imaging spectrometer based on acousto-optic tunable filters
Javier Calpe-Maravilla, Joan Vila-Francés, Emilio Ribes-Gómez, Vicente Duran-Bosch, Jordi Muñoz-Marí, Julia Amorós-López, Luis Gómez-Chova, and Enrique Tajahuerce-Romera
Journal of Electronic Imaging,
15(2),
2006.
doi:10.1117/1.2201057
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Urban Monitoring using Multitemporal SAR and Multispectral Data
L. Gómez-Chova, D. Fernández-Prieto, J. Calpe, E. Soria, J. Vila-Francés, and G. Camps-Valls
Pattern Recognition Letters,
27(4), pp. 234-243,
2006.
doi:10.1016/j.patrec.2005.08.004
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Enhancing decision-based neural networks through local competition
Gustavo Camps-Valls, Luis Gómez-Chova, Joan Vila-Francés, Jose D. Martín-Guerrero, Antonio J. Serrano-López, and Emilio Soria-Olivas
Neurocomputing,
69(7-9), pp. 905-908,
2006.
doi:10.1016/j.neucom.2005.09.006
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Composite Kernels for Hyperspectral Image Classification
G. Camps-Valls, L. Gómez-Chova, J. Muñoz-Marí, J. Vila-Francés, and J. Calpe-Maravilla
IEEE Geoscience and Remote Sensing Letters,
3(1), pp. 93-97,
2006.
doi:10.1109/LGRS.2005.857031
|
| 2005 |
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SmartSpectra: Applying multispectral imaging to industrial environments
Joan Vila, Javier Calpe, Filiberto Pla, Luis Gómez-Chova, Joseph Connell, John Marchant, Javier Calleja, Michael Mulqueen, Jordi Muñoz, and Arnoud Klaren
Real-Time Imaging,
11(2), pp. 85-98,
2005.
doi:10.1016/j.rti.2005.04.007
|
| 2004 |
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Robust Support Vector Method for Hyperspectral Data Classification and Knowledge Discovery
G. Camps-Valls, L. Gómez-Chova, J. Calpe, E. Soria, J. D. Martín, L. Alonso, and J. Moreno
IEEE Trans. on Geoscience and Remote Sensing,
42(7), pp. 1530-1542,
2004.
doi:10.1109/TGRS.2004.827262
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Channel equalisation using a soft back-propagation learning algorithm
J. D. Martín-Guerrero, L. Gómez-Chova, G. Camps-Valls, A. Serrano-López, J. Vila-Francés, J. Calpe, and E. Soria
Journal of Electrical Engineering,
55(5-6), pp. 156-160,
2004.
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Prediction of weekly goat milk yield using autoregressive models
C. Fernández, J. Gómez, P. Sánchez-Seiquer, L. Gómez-Chova, E. Soria, L. Mocé, and C. Garcés
South African Journal of Animal Science,
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A low-complexity fuzzy activation function for artificial neural networks
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(c) copyright. Luis Gomez-Chova.
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