An End-to-End Conditional Random Fields and Skip-Connected Generative Adversarial Segmentation Network for Remote Sensing Images.
Chu HePeizhang FangZhi ZhangDehui XiongMingsheng LiaoPublished in: Remote. Sens. (2019)
Keyphrases
- end to end
- conditional random fields
- remote sensing images
- generative model
- congestion control
- image labeling
- high bandwidth
- wireless ad hoc networks
- internet protocol
- crf model
- segmentation method
- remote sensing
- multispectral
- change detection
- probabilistic model
- transport layer
- graphical models
- sequence labeling
- information extraction
- random fields
- hidden markov models
- image segmentation
- higher order
- admission control
- web page prediction
- differentiated services
- markov random field
- structured prediction
- pairwise
- level set
- satellite images
- energy function
- image analysis
- active contours
- multiscale
- markov networks
- discriminative models
- natural language processing
- superpixels
- network structure
- wireless sensor networks
- image data
- discriminative learning
- pattern recognition
- real world
- segmentation algorithm