J
Jordi Muñoz-Marí
Researcher at University of Valencia
Publications - 130
Citations - 6430
Jordi Muñoz-Marí is an academic researcher from University of Valencia. The author has contributed to research in topics: Support vector machine & Kernel method. The author has an hindex of 30, co-authored 122 publications receiving 4905 citations. Previous affiliations of Jordi Muñoz-Marí include Siemens & Manipal University Jaipur.
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Journal ArticleDOI
Composite kernels for hyperspectral image classification
Gustau Camps-Valls,Luis Gómez-Chova,Jordi Muñoz-Marí,Joan Vila-Francés,Javier Calpe-Maravilla +4 more
TL;DR: This framework of composite kernels demonstrates enhanced classification accuracy as compared to traditional approaches that take into account the spectral information only, flexibility to balance between the spatial and spectral information in the classifier, and computational efficiency.
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A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification
TL;DR: The main families of active learning algorithms are reviewed and tested: committee, large margin, and posterior probability-based, which aims at building efficient training sets by iteratively improving the model performance through sampling.
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Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review
Jochem Verrelst,Gustau Camps-Valls,Jordi Muñoz-Marí,Juan Pablo Rivera,Frank Veroustraete,Jan G. P. W. Clevers,Jose Moreno +6 more
TL;DR: A review of state-of-the-art retrieval methods for quantitative terrestrial bio-geophysical variable extraction using optical remote sensing imagery and the prospects of implementing these methods into future processing chains for operational retrieval of vegetation properties are presented and discussed.
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Inferring causation from time series in Earth system sciences
Jakob Runge,Jakob Runge,Sebastian Bathiany,Erik M. Bollt,Gustau Camps-Valls,Dim Coumou,Dim Coumou,Ethan R. Deyle,Clark Glymour,Marlene Kretschmer,Miguel D. Mahecha,Jordi Muñoz-Marí,Egbert H. van Nes,Jonas Peters,Rick Quax,Markus Reichstein,Marten Scheffer,Bernhard Schölkopf,Peter Spirtes,George Sugihara,Jie Sun,Kun Zhang,Jakob Zscheischler,Jakob Zscheischler,Jakob Zscheischler +24 more
TL;DR: An overview of causal inference frameworks is given, promising applications and methodological challenges are identified, and a causality benchmark platform is initiated to close the gap between method users and developers.
Journal ArticleDOI
Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection
Gustau Camps-Valls,Luis Gómez-Chova,Jordi Muñoz-Marí,José Luis Rojo-Álvarez,Manel Martínez-Ramón +4 more
TL;DR: A general framework based on kernel methods for the integration of heterogeneous sources of information for multitemporal classification of remote sensing images and the development of nonlinear kernel classifiers for the well-known difference and ratioing change detection methods is presented.