Supervised and Semi-Supervised Self-Organizing Maps for Regression and Classification Focusing on Hyperspectral Data.
Felix M. RieseSina KellerStefan HinzPublished in: Remote. Sens. (2020)
Keyphrases
- self organizing maps
- hyperspectral data
- hyperspectral images
- hyperspectral
- hyperspectral imagery
- supervised and semi supervised
- unsupervised learning
- locally weighted
- random projections
- remote sensing
- multispectral
- infrared
- support vector
- regression problems
- decision trees
- regression model
- neural network
- model selection
- pattern recognition
- feature extraction
- target detection
- image classification
- supervised learning
- classification accuracy
- machine learning
- feature space
- linear regression
- support vector machine svm
- feature selection
- principal components
- dimension reduction
- support vector machine
- k means
- training set
- reinforcement learning
- clustering algorithm