基于多模方法的位移矢量场自适应估计

陆明俊; 王润生

基于多模方法的位移矢量场自适应估计

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出版历程
- 收稿日期: 1999-02-26
- 修回日期: 1999-08-19
- 刊出日期: 2000-11-19

ADAPTIVE DISPLACEMENT VECTOR FIELD ESTIMATION BASED ON MULTIPLE MODEL APPROACH

摘要

摘要: 半平面CGM(halfplanecompoundGauss-Markov)模型是以线过程(lineprocess)标识不同的子模型，适合于描述平稳和非平稳的位移矢量场DVF(displacementvectorfield)；半平面MRF(Markovrandomfield)模型描述线过程的分布，以确定各个子模型的先验概率。由此，本文提出一种基于多模方法的递归自适应DVF估计算法。
- 位移矢量场;MRF模型;多模方法
Abstract: Each submodel of a half plane compound Gauss-Markov model, which is identified by a line process, is suitable for describing stationary or nonstationary DVF(displacement vector field); In order to determine the a priori distribution of these submodels, a half plane Markov random field model is utilized to describe the distribution of the line process. Thus, a recursive and adaptive DVF estimation algorithm based on multiple model approach is developed in this paper.

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参考文献(1)

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