Hyperspectral Image Classification with Locally Linear Embedding, 2D Spatial Filtering, and SVM.
Guang Yi ChenWen-Fang XieShen-En QianPublished in: ICIC (1) (2021)
Keyphrases
- spatial filtering
- locally linear embedding
- dimensionality reduction
- support vector machine svm
- support vector
- manifold learning
- signal to noise ratio
- high dimensional
- low dimensional
- high dimensional data
- support vector machine
- knn
- feature selection
- kernel function
- principal components analysis
- dimensionality reduction methods
- principal component analysis
- feature space
- data sets
- image analysis
- remote sensing
- dimension reduction
- training data
- random projections
- feature extraction