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- W2394202384 abstract "The paper combines the maximum-a-posterior(MAP) classify method and an anisotropic diffusion(AD) smoothing process to realize the SAR image target segmentation.The AD smoothing process is based on partial differentialequation(PDE)'s accurate numerical implementations,and can be considered as spatial filtering of posterior probabilities and takes the benefits of high efficiency,accuracy and simplicity,and it is robust to data distribution properties.This method needs a transformation from image gradation domain to posterior probability domain,which needs an adaptive conditional distribution modeling of pixel intensive with accurate and efficient parameter estimation.It ingeniously used the mixed Gaussian distribution model to approximate actual pixel intensity and expectation-maximize(EM) method to implement the estimation.The MAP-AD based segmentation method gains qualified results for the ground SAR image,and becomes robust to image gradation distribution property after introducing the novel mixed Gaussian distribution model." @default.
- W2394202384 created "2016-06-24" @default.
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- W2394202384 date "2012-01-01" @default.
- W2394202384 modified "2023-09-25" @default.
- W2394202384 title "The maximum-a-posterior based SAR image target segmentation algorithm" @default.
- W2394202384 hasPublicationYear "2012" @default.
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