Local Manifold Learning-Based k -Nearest-Neighbor for Hyperspectral Image Classification.
Li MaMelba M. CrawfordJinwen TianPublished in: IEEE Trans. Geosci. Remote. Sens. (2010)
Keyphrases
- manifold learning
- k nearest neighbor
- hyperspectral image classification
- knn
- active learning
- nearest neighbor
- hyperspectral images
- hyperspectral
- semi supervised
- low dimensional
- high dimensional data
- high dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- subspace learning
- laplacian eigenmaps
- dimension reduction
- feature extraction
- support vector machine
- feature selection
- data points
- support vector machine svm
- text classification
- sparse representation
- neural network
- training set
- image classification
- neighborhood graph
- high dimensionality
- learning algorithm
- machine learning
- locally linear embedding
- distance function
- training data
- supervised learning
- pairwise