Adaptive noise reduction of InSAR images based on a complex-valued MRF model and its application t o phase unwrapping problem.
Andriyan Bayu SuksmonoAkira HirosePublished in: IEEE Trans. Geosci. Remote. Sens. (2002)
Keyphrases
- mrf model
- noise reduction
- noise filtering
- markov random field
- phase unwrapping
- complex valued
- edge detection
- noise free
- signal to noise ratio
- image segmentation
- median filter
- edge preserving
- real valued
- noise level
- bayesian framework
- maximum a posteriori
- mrf models
- random fields
- image analysis
- neural network
- image restoration
- recurrent neural networks
- parameter estimation
- higher order
- image registration
- linear equations
- denoising
- image processing
- multiscale
- wiener filter
- probability distribution
- multi valued
- conditional random fields
- magnetic resonance imaging
- graph cuts
- non stationary
- energy function