Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field.
Yi LiangXin ZhaoAlan J. X. GuoFei ZhuPublished in: CoRR (2019)
Keyphrases
- metric learning
- conditional random fields
- hyperspectral image classification
- pairwise
- active learning
- hyperspectral
- hyperspectral images
- semi supervised
- distance metric
- crf model
- probabilistic model
- hidden markov models
- learning tasks
- generative model
- graphical models
- distance function
- markov random field
- higher order
- information extraction
- dimensionality reduction
- multi task
- semi supervised learning
- feature space
- superpixels
- multi class
- learning algorithm
- clustering algorithm
- euclidean distance
- background knowledge
- segmentation method
- labeled data
- information retrieval
- model selection
- distance measure