Reducing hyperspectral data dimensionality using random forest based wrappers.
Nitesh K. PoonaRiyad IsmailPublished in: IGARSS (2013)
Keyphrases
- random forest
- hyperspectral
- data dimensionality
- relative error
- remote sensing
- infrared
- high dimensionality
- multispectral
- feature set
- decision trees
- image data
- feature selection
- principle component analysis
- ensemble methods
- multi label
- change detection
- high resolution
- machine learning
- high dimensional
- base classifiers
- training set
- text categorization
- semi supervised
- computer vision