High-Order Markov Random Field as Attention Network for High-Resolution Remote-Sensing Image Compression.
Yanwen ChongLiang ZhaiShaoming PanPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- remote sensing
- markov random field
- high order
- high resolution
- image compression
- higher order
- change detection
- multispectral
- pairwise
- remote sensing images
- image processing
- remote sensing imagery
- graph cuts
- mrf model
- belief propagation
- image analysis
- satellite images
- parameter estimation
- image segmentation
- high spatial resolution
- maximum a posteriori
- remote sensing data
- random fields
- energy function
- low resolution
- hyperspectral
- conditional random fields
- satellite data
- multi spectral images
- land cover
- super resolution
- potential functions
- spatial resolution
- high frequency
- compression algorithm
- subband
- anomaly detection
- compression ratio
- image reconstruction
- image quality
- high quality