把运动矢量场建模为高斯马尔科夫随机场，对丢失图像块的运动矢量采用最大后验概率方法恢复，其权值能够根据空间和时间信息而自适应选择。
The motion vectors of the damaged image macroblocks can be recovered adaptively by Maximum A Posteriori(MAP), and the weight is selected adaptively based o.
三重马尔科夫随机场(TMF)模型非常适合处理非平稳、非高斯图像的分割问题。
Triplet Markov random fields (TMF) model is suitable for dealing with multi-class segmentation of non-stationary, non-Gaussian SAR images.
三重马尔科夫随机场(TMF)模型非常适合处理非平稳、非高斯图像的分割问题。
Triplet Markov random fields (TMF) model is suitable for dealing with multi-class segmentation of non-stationary, non-Gaussian SAR images.
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