A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentation.
Jan-Christopher CohrsChandrajit BajajBenjamin BerkelsPublished in: CoRR (2022)
Keyphrases
- hyperspectral
- mumford shah model
- image segmentation
- hyperspectral images
- level set method
- remote sensing
- multispectral
- mumford shah
- hyperspectral imagery
- partial differential equations
- edge detection
- infrared
- image data
- level set evolution
- hyperspectral data
- level set
- mumford shah functional
- spatial resolution
- information content
- curve evolution
- piecewise constant
- active contours
- image analysis
- graph cuts
- markov random field
- multiscale
- deformable models
- segmentation algorithm
- energy functional
- change detection
- similarity measure
- active contour model
- texture segmentation
- image enhancement
- color image segmentation
- piecewise smooth
- dimensionality reduction
- co occurrence
- computer vision