The effect of training data on hyperspectral classification algorithms.
Okan Bilge OzdemirYasemin Yardimci ÇetinPublished in: SIU (2013)
Keyphrases
- hyperspectral
- training data
- hyperspectral images
- hyperspectral data
- decision trees
- classification accuracy
- training set
- learning algorithm
- sufficient training data
- machine learning
- remote sensing
- supervised learning
- feature extraction
- class labels
- pixel classification
- hyperspectral imaging
- text classification
- pattern recognition
- hyperspectral imagery
- high quality
- neural network
- band selection
- spectral bands
- similarity measure
- target detection
- remote sensing images
- multispectral
- infrared
- image data
- support vector
- relational databases