Support-Vector-Based Hyperspectral Anomaly Detection Using Optimized Kernel Parameters.
Prudhvi GurramHeesung KwonPublished in: IEEE Geosci. Remote. Sens. Lett. (2011)
Keyphrases
- anomaly detection
- kernel parameters
- hyperspectral
- support vector
- kernel function
- remote sensing
- multispectral
- infrared
- support vector machine
- kernel methods
- gaussian processes
- image data
- kernel machines
- training process
- cross validation
- satellite images
- svm classifier
- classification accuracy
- feature selection
- learning machines
- information content
- hyperparameters
- change detection
- regularization parameter
- image processing
- unsupervised learning
- feature space
- feature subset
- support vectors
- pairwise
- knn