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Subsidence feature discrimination using deep convolutional neural networks in synthetic aperture radar imagery.
Colin P. Schwegmann
Waldo Kleynhans
Jeanine Engelbrecht
L. W. Mdakane
R. G. V. Meyer
Published in:
IGARSS (2017)
Keyphrases
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convolutional neural networks
convolutional network
feature vectors
discrimination power
data sets
social networks
classification accuracy
image segmentation
feature space
hidden markov models
missing values
invariant features
multiple features