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Hierarchical Manifold Learning With Applications to Supervised Classification for High-Resolution Remotely Sensed Images.
Hong-Bing Huang
Hong Huo
Tao Fang
Published in:
IEEE Trans. Geosci. Remote. Sens. (2014)
Keyphrases
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remotely sensed images
manifold learning
supervised classification
high resolution
unsupervised learning
remote sensing
dimensionality reduction
supervised learning
semi supervised
low dimensional
low resolution
change detection
nonlinear dimensionality reduction
land cover
dimension reduction
high dimensional
super resolution
high dimensional data
remote sensing images
multispectral
feature extraction
sparse representation
image processing
semi supervised learning
high quality
object recognition
image segmentation
spatial resolution
machine learning
computer vision
model selection
feature space
learning algorithm