Investigation of the impact of dimensionality reduction and feature selection on the classification of hyperspectral EnMAP data.
Sina KellerAndreas Ch. BraunStefan HinzMartin WeinmannPublished in: WHISPERS (2016)
Keyphrases
- feature selection
- dimensionality reduction
- hyperspectral
- data sets
- hyperspectral data
- dimensionality reduction methods
- classification accuracy
- feature extraction
- data points
- high dimensional data
- pattern recognition
- remote sensing data
- multispectral
- high dimensionality
- original data
- hyperspectral images
- feature space
- feature vectors
- hyperspectral imagery
- spatial resolution
- spectral bands
- information content
- attribute values
- infrared
- support vector
- high quality
- training data
- image segmentation