Interpreting machine-learning models in transformed feature space with an application to remote-sensing classification.
Alexander BrenningPublished in: Mach. Learn. (2023)
Keyphrases
- remote sensing
- feature space
- machine learning models
- multispectral
- remote sensing images
- multi spectral images
- change detection
- hyperspectral images
- remotely sensed
- land cover classification
- machine learning algorithms
- spam filtering
- classification accuracy
- machine learning approaches
- image analysis
- feature vectors
- high resolution
- satellite images
- hyperspectral
- pattern recognition
- hyperspectral data
- remote sensing imagery
- training samples
- satellite data
- remote sensing data
- land cover
- high spatial resolution
- digital image analysis
- feature extraction
- image processing
- classification models
- supervised classification
- classification algorithm
- training set
- feature selection
- automatic image registration
- remote sensed images
- feature set
- support vector machine
- high dimensional
- machine learning
- hyperspectral imagery
- dimensionality reduction
- image data
- learning models
- data points
- neural network
- hyperspectral remote sensing
- decision trees
- remotely sensed data
- pairwise
- earth observation
- principal component analysis
- class labels
- kernel methods
- feature subset