PolSAR Image Classification Based on DBN and Tensor Dimensionality Reduction.
Biao HouXianpeng GuoWeidan HouShuang WangXiangrong ZhangLicheng JiaoPublished in: IGARSS (2018)
Keyphrases
- dimensionality reduction
- image classification
- feature extraction
- high dimensional data
- low dimensional
- bag of words
- image representation
- pattern recognition
- high dimensional
- high dimensionality
- principal component analysis
- data representation
- sparse representation
- manifold learning
- feature selection
- pattern recognition and machine learning
- neighborhood preserving embedding
- image features
- subspace learning
- dimensionality reduction methods
- linear discriminant analysis
- approximate inference
- lower dimensional
- nonlinear dimensionality reduction
- principal components
- visual words
- feature space
- data points
- sparse coding
- tensor decomposition
- class specific
- feature vectors
- metric learning
- singular value decomposition
- belief networks
- neural network
- face recognition
- image processing
- discriminant analysis
- supervised dimensionality reduction
- multi layer
- least squares
- restricted boltzmann machine
- structure preserving
- computer vision
- machine learning