Sensitivity of hyperspectral classification algorithms to training sample size.
Matthew A. LeeSaurabh PrasadLori Mann BruceTerrance R. WestDaniel ReynoldsTrent IrbyHemanth KalluriPublished in: WHISPERS (2009)
Keyphrases
- sample size
- hyperspectral
- hyperspectral images
- hyperspectral data
- classification algorithm
- remote sensing
- model selection
- pattern recognition
- hyperspectral imagery
- worst case
- supervised learning
- multispectral
- small sample
- training set
- small samples
- training samples
- pixel classification
- computational complexity
- decision trees
- infrared
- small sample size
- hyperspectral image classification
- image data
- random sampling
- data sets
- upper bound
- feature selection
- change detection
- support vector machine svm
- special case
- feature space
- feature extraction