Hyperspectral Image Classification With Deep Metric Learning and Conditional Random Field.
Yi LiangXin ZhaoAlan J. X. GuoFei ZhuPublished in: IEEE Geosci. Remote. Sens. Lett. (2020)
Keyphrases
- metric learning
- conditional random fields
- hyperspectral image classification
- pairwise
- active learning
- hyperspectral images
- semi supervised
- hyperspectral
- distance metric
- crf model
- graphical models
- probabilistic model
- multi task
- dimensionality reduction
- markov random field
- information extraction
- hidden markov models
- learning tasks
- generative model
- higher order
- distance function
- semi supervised learning
- labeled data
- multi class
- feature space
- transfer learning
- superpixels
- learning algorithm
- background knowledge
- data sets
- k means
- high dimensional