A new approach for accurate classification of hyperspectral images using Virtual Sample Generation by Concurrent Self-Organizing Maps.
Victor-Emil NeagoeAdrian-Dumitru CiotecPublished in: IGARSS (2013)
Keyphrases
- self organizing maps
- hyperspectral images
- accurate classification
- hyperspectral
- classification algorithm
- neural network
- supervised learning
- classification accuracy
- hyperspectral data
- multispectral
- unsupervised learning
- input data
- remote sensing
- neural gas
- k means
- feature selection
- multispectral images
- mutual information
- data sets
- principal component analysis
- high resolution
- remote sensing images
- pattern recognition
- similarity measure