Superpixel-based classification of hyperspectral data using sparse representation and conditional random fields.

Ribana Roscher Björn Waske

Published in: IGARSS (2014)

Keyphrases

hyperspectral data
sparse representation
random projections
conditional random fields
dictionary learning
hyperspectral images
image classification
hyperspectral
probabilistic model
superpixels

hyperspectral imagery
graphical models
face recognition
information extraction
higher order
hidden markov models
dimensionality reduction
image patches
image representation
markov random field

generative model
remote sensing
multispectral
signal processing
dimension reduction
pattern recognition
image reconstruction
high dimensionality
principal components

feature extraction
learning algorithm
machine learning
feature selection
feature space
pairwise
principal component analysis
svm classifier
high dimensional data