摘要
半平面CGM(half plane compound Gauss-Markov)模型是以线过程(line process)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(displacement vector field);半平面MRF(Markov random field)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。
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.
