An Iterative Random Training Sample Selection Approach to Constrained Energy Minimization for Hyperspectral Image Classification.
Xiao-Di ShangMeiping SongChein-I ChangPublished in: IEEE Geosci. Remote. Sens. Lett. (2021)
Keyphrases
- energy minimization
- sample selection
- hyperspectral image classification
- active learning
- graph cuts
- energy function
- markov random field
- problems in computer vision
- image segmentation
- training data
- training set
- training examples
- belief propagation
- hyperspectral
- max flow min cut
- supervised learning
- hyperspectral images
- machine learning
- semi supervised
- image features
- learning algorithm
- pattern recognition
- data sets
- meta learning
- multi class
- high resolution
- energy minimization problems
- evolutionary algorithm