A kernel-based block matrix decomposition approach for the classification of remotely sensed images.
Jianqiang GaoLizhong XuAiye ShiFengchen HuangPublished in: Appl. Math. Comput. (2014)
Keyphrases
- remotely sensed images
- supervised classification
- support vector
- support vector machine
- change detection
- pattern recognition
- machine learning
- decision trees
- land cover
- feature extraction
- supervised learning
- text classification
- matrix decomposition
- multispectral
- active learning
- feature vectors
- feature space
- feature selection