GMM-Based Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data.
AmirAbbas DavariErchan AptoulaBerrin A. YanikogluAndreas K. MaierChristian RiessPublished in: IEEE Geosci. Remote. Sens. Lett. (2018)
Keyphrases
- hyperspectral images
- training data
- hyperspectral data
- spectral features
- training samples
- training set
- hyperspectral
- classification accuracy
- decision trees
- spectral data
- hyperspectral imagery
- supervised learning
- data sets
- hyperspectral image classification
- training dataset
- spectral bands
- remote sensing
- class labels
- feature vectors
- feature space
- gaussian mixture model
- multispectral
- machine learning
- support vector machine
- learning algorithm
- dimensionality reduction
- target detection
- multispectral images
- feature selection
- computer vision