Unsupervised change detection in the feature space using kernels.
Michele VolpiDevis TuiaGustavo Camps-VallsMikhail F. KanevskiPublished in: IGARSS (2011)
Keyphrases
- feature space
- kernel function
- kernel methods
- high dimensionality
- dot product
- feature vectors
- input space
- feature selection
- dimensionality reduction
- classification accuracy
- image representation
- training samples
- polynomial kernels
- change detection
- support vector machine
- mean shift
- feature set
- low dimensional
- high dimensional feature space
- remote sensing images
- principal component analysis
- data points
- high dimensional
- feature extraction
- gaussian kernels
- kernel trick
- input data
- hyperplane
- machine learning
- mercer kernels
- multiple kernel
- support vector
- image segmentation
- computer vision