Hyperspectral Image Classification With Small Training Sample Size Using Superpixel-Guided Training Sample Enlargement.
Chengyong ZhengNingning WangJing CuiPublished in: IEEE Trans. Geosci. Remote. Sens. (2019)
Keyphrases
- sample size
- training samples
- number of training samples
- hyperspectral image classification
- small sample
- training data
- random sample
- training set
- training examples
- random sampling
- feature space
- supervised learning
- model selection
- test sample
- learning algorithm
- high dimensional
- covariance matrix
- upper bound
- active learning
- hyperspectral
- worst case
- hyperspectral images
- pairwise
- face images
- generalization error
- similarity measure
- multispectral
- labeled data
- low dimensional
- superpixels
- lower bound
- video sequences
- input image
- feature selection