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Dimensionality Reduction via Regression in Hyperspectral Imagery

Dimensionality Reduction via Regression in Hyperspectral Imagery

31 January 2016
Valero Laparra
Jesús Malo
Gustau Camps-Valls
ArXiv (abs)PDFHTML

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
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
Iterative Gaussianization: from ICA to Random Rotations
Valero Laparra
Gustavo Camps-Valls
Jesús Malo
139
126
0
31 Jan 2016
Principal Polynomial Analysis
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
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
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
Validation of nonlinear PCA
Matthias Scholz
60
70
0
03 Apr 2012
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