Dimensionality reduction of hyperspectral data: Assessing the performance of Autoassociative Neural Networks.
Giorgio LicciardiFabio Del FrateGiovanni SchiavonDomenico SoliminiPublished in: IGARSS (2010)
Keyphrases
- auto associative
- hyperspectral data
- dimensionality reduction
- neural network
- random projections
- principal components
- hyperspectral
- pattern recognition
- hyperspectral images
- principal component analysis
- hyperspectral imagery
- associative memory
- high dimensional
- artificial neural networks
- multispectral
- high dimensionality
- high dimensional data
- dimensionality reduction methods
- remote sensing
- data points
- infrared
- low dimensional
- dimension reduction
- feature selection
- input space
- linear discriminant analysis
- neural network model
- sparse representation
- lower dimensional
- singular value decomposition
- feature extraction
- feature space
- original data
- data compression
- kernel pca
- hash functions
- data sets