Modelling-Based Feature Selection for Classification of Forest Structure Using Very High Resolution Multispectral Imagery.
Benoit BeguetSamia BoukirDominique GuyonNesrine ChehataPublished in: SMC (2013)
Keyphrases
- multispectral
- feature selection
- hyperspectral data
- remotely sensed
- image data
- land cover classification
- remote sensing
- remote sensing data
- hyperspectral images
- multi spectral images
- hyperspectral
- multispectral images
- classification accuracy
- remote sensing images
- satellite images
- feature extraction
- image analysis
- spatial resolution
- feature space
- high dimensionality
- feature vectors
- feature set
- machine learning
- multi band
- hyperspectral imagery
- satellite imagery
- pattern recognition
- land cover
- text classification
- image classification
- high resolution
- multispectral imaging
- visible spectrum
- remotely sensed data
- unsupervised learning
- supervised classification
- feature selection algorithms
- feature subset
- change detection
- high spatial resolution
- spectral images
- infrared
- satellite data
- spectral features
- training set
- region growing
- multispectral satellite images