Supervised segmentation of remote-sensing multitemporal images based on the tree-structured Markov random field model.
Luca CicalaGiovanni PoggiGiuseppe ScarpaPublished in: IGARSS (2004)
Keyphrases
- remote sensing
- markov random field model
- image analysis
- satellite images
- change detection
- remote sensing images
- remotely sensed images
- multispectral
- remote sensing imagery
- high spatial resolution
- remote sensed images
- remote sensing data
- hyperspectral
- multi spectral images
- hyperspectral images
- segmentation algorithm
- image fusion
- digital image analysis
- image segmentation
- markov random field
- land cover
- image processing
- high resolution
- edge detection
- multispectral images
- segmentation method
- input image
- image data
- sparse coding
- random fields
- test images
- image regions
- image retrieval
- image classification
- supervised classification
- unsupervised learning
- unsupervised segmentation
- multi band
- object recognition
- high quality