A novel classification processing based on the spatial information and the concept of Adaboost for hyperspectral image classification.
Bor-Chen KuoShih-Syun LinHuey-Min WuChun-Hsiang ChuangPublished in: IGARSS (2010)
Keyphrases
- spatial information
- hyperspectral image classification
- spatial distribution
- support vector
- decision trees
- feature selection
- pattern recognition
- active learning
- spatial relationships
- spatial relations
- hyperspectral images
- image processing
- classification accuracy
- machine learning
- local binary pattern
- temporal information
- spatial resolution
- image classification
- intensity values
- support vector machine
- feature extraction
- discriminative ability
- face detection
- object detection
- feature space
- learning algorithm
- color histogram
- hyperspectral
- multi class
- spatial features
- hyperspectral data