Unsupervised feature extraction for hyperspectral images using combined low rank representation and locally linear embedding.
Mengdi WangJing YuLijuan NiuWeidong SunPublished in: ICASSP (2017)
Keyphrases
- hyperspectral images
- locally linear embedding
- feature extraction
- manifold learning
- dimensionality reduction
- hyperspectral
- semi supervised
- principal component analysis
- high dimensional data
- unsupervised learning
- high dimensional
- multispectral
- feature space
- remote sensing
- low dimensional
- image processing
- image classification
- wavelet transform
- multispectral images
- machine learning
- low rank
- feature selection
- neural network
- linear discriminant analysis
- feature vectors
- data sets
- pattern recognition
- multiscale
- face recognition
- subspace learning
- dimensional data
- image sequences