Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation.
Fahim Irfan AlamJun ZhouAlan Wee-Chung LiewXiuping JiaJocelyn ChanussotYongsheng GaoPublished in: CoRR (2017)
Keyphrases
- hyperspectral
- conditional random fields
- image segmentation
- hyperspectral images
- remote sensing
- markov random field
- learning algorithm
- learning process
- structured prediction
- image data
- image features
- higher order
- probabilistic model
- generative model
- active learning
- satellite images
- object recognition
- high quality
- hyperspectral imagery
- max margin learning