Multiclass support vector machine for classification spatial data from satellite image.
Kanita TangthaikwanNarongdech KeeratipranonAdshariya AgsornintaraPublished in: KST (2017)
Keyphrases
- multi class
- support vector machine
- spatial data
- satellite images
- multiclass classification
- support vector
- multi class classification
- support vector machine svm
- binary classifiers
- multiple classes
- spatial databases
- svm classifier
- feature selection
- multiclass problems
- cost sensitive
- cost sensitive classification
- binary classification
- feature vectors
- geographic information systems
- r tree
- svm classification
- multiclass support vector machines
- binary classification problems
- k nearest neighbor
- error correcting output codes
- training data
- machine learning
- knn
- geospatial data
- decision boundary
- location based services
- geographical information systems
- spatial objects
- change detection
- pairwise
- training set
- feature space
- soft margin
- kernel function
- remotely sensed
- data mining
- geographic information
- feature extraction
- spatial queries
- multispectral
- remote sensing
- land cover
- image segmentation
- high dimensional
- satellite imagery
- base classifiers
- image processing
- supervised learning
- machine learning algorithms