Spatial-Attraction-Based Markov Random Field Approach for Classification of High Spatial Resolution Multispectral Imagery.
Hua ZhangWenzhong ShiYunjia WangMing HaoZelang MiaoPublished in: IEEE Geosci. Remote. Sens. Lett. (2014)
Keyphrases
- multispectral
- high spatial resolution
- markov random field
- land cover classification
- remote sensing data
- hyperspectral data
- remote sensing
- high resolution
- multispectral images
- spatial resolution
- image data
- remote sensing images
- hyperspectral
- higher order
- satellite images
- graph cuts
- hyperspectral images
- land cover
- mrf model
- satellite imagery
- image analysis
- multi band
- maximum a posteriori
- image segmentation
- spectral bands
- energy function
- change detection
- hyperspectral imagery
- pairwise
- machine learning
- low resolution
- pattern recognition
- low spatial resolution
- spectral resolution
- geographic information systems
- video camera
- supervised classification
- high frequency
- spatial information
- model selection
- semi supervised
- motion estimation
- color images
- multiscale
- high quality
- image processing
- computer vision