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- Title
Gamma Mixture Distribution Modeling Method with SAR Images.
- Authors
JIANG Jin-long; SUN Hong; CHEN Jia-yu; ZHA Dai-feng
- Abstract
There are more flexibilities mixtures of multi-distribution models than a single-distribution model for complicated random variables. Gaussian mixture models, alpha-stable mixture models and Gamma mixture models are main hybrid probability distribution ones. Gaussian mixture distributions are fitter for some symmetric distribution random variables and alpha-stable mixture distributions for not only symmetric but also skewed, but more parameters and intricate estimating algorithms are its shortcoming. Pixel values of SAR images are non-negative and skewed distributions, so fit for using Gamma mixture distribution models. Simulation analysis and data tests show that Gamma mixture distribution models have a higher operation efficiency for pixel statistical distribution of SAR image pixel distributions.
- Subjects
SYNTHETIC aperture radar; MIXTURE distributions (Probability theory); MARKOV chain Monte Carlo; SKEWNESS (Probability theory); ALGORITHMS; PARAMETER estimation
- Publication
Journal of Signal Processing, 2014, Vol 30, Issue 5, p504
- ISSN
1003-0530
- Publication type
Article