Fully Connected Conditional Random Fields for High-Resolution Remote Sensing Land Use/Land Cover Classification with Convolutional Neural Networks.
Bin ZhangCunpeng WangYonglin ShenYueyan LiuPublished in: Remote. Sens. (2018)
Keyphrases
- fully connected
- conditional random fields
- land cover classification
- remote sensing
- high resolution
- high spatial resolution
- multispectral
- remote sensing imagery
- land cover
- remote sensing data
- hyperspectral
- change detection
- satellite data
- graphical models
- remote sensing images
- satellite images
- hidden markov models
- probabilistic model
- higher order
- super resolution
- image processing
- satellite imagery
- spatial resolution
- image analysis
- image fusion
- generative model
- pairwise
- high quality
- information extraction
- markov random field
- multispectral images
- hyperspectral images
- hyperspectral imagery
- data analysis
- neural network
- segmentation method
- image registration
- machine learning