Dimensionality Reduction via Regression in Hyperspectral Imagery

Dimensionality Reduction via Regression in Hyperspectral Imagery

31 January 2016

Gustau Camps-Valls

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Papers citing "Dimensionality Reduction via Regression in Hyperspectral Imagery"

6 / 6 papers shown

Title
Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis Valero Laparra S. Jiménez Gustavo Camps-Valls Jesús Malo 60 51 0 31 Jan 2016
Iterative Gaussianization: from ICA to Random Rotations Valero Laparra Gustavo Camps-Valls Jesús Malo 139 126 0 31 Jan 2016
Principal Polynomial Analysis Valero Laparra S. Jiménez D. Tuia Gustau Camps-Valls Jesús Malo 37 27 0 31 Jan 2016
Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods Gustavo Camps-Valls D. Tuia Lorenzo Bruzzone J. Benediktsson 91 668 0 18 Oct 2013
Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods J. Arenas-García Kaare Brandt Petersen Gustavo Camps-Valls Lars Kai Hansen 97 115 0 18 Oct 2013
Validation of nonlinear PCA Matthias Scholz 62 70 0 03 Apr 2012