Alpha-shapes for visualizing irregular-shaped class clusters in 3D feature space for classification of remotely sensed imagery.
Arko LucieerMenno-Jan KraakPublished in: Visualization and Data Analysis (2004)
Keyphrases
- feature space
- remotely sensed imagery
- class labels
- feature vectors
- input space
- feature selection
- training set
- arbitrary shape
- data points
- feature extraction
- support vector machine
- clustering algorithm
- pattern recognition
- principal component analysis
- kernel function
- machine learning
- low dimensional
- high dimensional
- unsupervised learning
- image classification
- remote sensing
- supervised learning
- satellite images
- remotely sensed
- data sets