Multispectral Image Segmentation With Dimensionality Reduction Using Autoencoders.
Eliton AlbuquerqueCláudio R. JungPublished in: SIBGRAPI (2023)
Keyphrases
- multispectral image segmentation
- dimensionality reduction
- multispectral images
- denoising
- principal component analysis
- high dimensional
- feature extraction
- manifold learning
- pattern recognition
- feature selection
- low dimensional
- high dimensional data
- data points
- high dimensionality
- nonlinear dimensionality reduction
- kernel pca
- feature space
- structure preserving
- data representation
- image processing
- dimensionality reduction methods
- multispectral
- principal components
- unsupervised learning
- pattern recognition and machine learning
- linear discriminant analysis
- spatial resolution
- face recognition
- artificial neural networks
- multiresolution