A Study on Dimensionality Reduction and Parameters for Hyperspectral Imagery Based on Manifold Learning.
Wenhui SongXin ZhangGuozhu YangYijin ChenLianchao WangHanghang XuPublished in: Sensors (2024)
Keyphrases
- manifold learning
- dimensionality reduction
- hyperspectral imagery
- low dimensional
- nonlinear dimensionality reduction
- diffusion maps
- dimension reduction
- principal component analysis
- high dimensional data
- high dimensional
- feature extraction
- geodesic distance
- pattern recognition
- embedding space
- neural network
- feature selection
- hyperspectral images
- singular value decomposition
- image processing
- data sets
- similarity measure
- lower dimensional
- image segmentation
- linear discriminant analysis
- multispectral
- support vector machine svm
- super resolution
- face recognition
- signal processing
- semi supervised
- object recognition