Manifold learning based supervised hyperspectral data classification method using class encoding.
Miao ZhangWei GuoYiming CuiFei ShenYi ShenPublished in: IGARSS (2016)
Keyphrases
- classification method
- manifold learning
- semi supervised
- hyperspectral data
- dimension reduction
- low dimensional
- text classification
- support vector machine svm
- dimensionality reduction
- random projections
- hyperspectral
- hyperspectral imagery
- k nearest neighbor
- knn
- hyperspectral images
- high dimensional data
- unsupervised learning
- feature extraction
- multispectral
- support vector machine
- feature selection
- pattern recognition
- high dimensional
- feature space
- semi supervised learning
- image processing
- classification algorithm
- preprocessing
- data analysis
- labeled data
- learning algorithm
- supervised learning
- remote sensing
- unlabeled data