GMM-Based Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data.
AmirAbbas DavariErchan AptoulaBerrin A. YanikogluAndreas K. MaierChristian RiessPublished in: CoRR (2017)
Keyphrases
- hyperspectral images
- training data
- training samples
- hyperspectral data
- spectral features
- training set
- hyperspectral
- classification accuracy
- hyperspectral image classification
- decision trees
- hyperspectral imagery
- spectral data
- data sets
- training dataset
- support vector machine
- supervised learning
- learning algorithm
- class labels
- pattern recognition
- remote sensing
- multispectral
- gaussian mixture model
- spectral bands
- machine learning
- feature vectors
- target detection
- multispectral images
- infrared
- image data
- feature space
- feature extraction
- pixel classification
- support vector
- image segmentation