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home/Knowledge Base/CODES/Classification of Hyperspectral Images/Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images

Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images

February 5, 2016

Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images  [toolbox]
M. Fauvel, C. Bouveyron and S. Girard

IEEE Geoscience and Remote Sensing Letters
Volume: 12 , Issue: 12
Publication Year: 2015 , Page(s): 2423 – 2427

Tags:classificationhyperspectralkernel methodsparsimonious Gaussian processremote sensing
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  Parsimonious Mahalanobis Kernel for the Classification of High Dimensional Data

More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification  

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