遥感影像像斑综合相邻势能分析的随机场模型

Random Field Model Based on Segments Spatial Integrated Adjacent Potential Energy Analysis for Remote Sensing Image

针对当前像斑随机场模型无法充分描述方位特征的不足,在RAG-MRF模型的基础上提出了一种基于综合相邻势能分析的随机场模型,采用了新型的基于统计的邻域势函数,并设计了相应的像斑空间相邻特征描述指标,以提升像斑分类及识别的效果。

As compared to a pixels＇ regular neighborhood system, the morphology and distribution of segments are irregular, which makes the quantity of neighborhood cliques in RAG-MRF unpredictable, and therefore the quantification of segments＇ orientation features becomes impossible. Aimed at the disadvantages of current segments-based random field in orientation feature, we propose a random field model based on segments spatial integrated adjacent potential energy analysis, a new neighborhood potential energy function based on statistic was used, and according spatial adjacent feature indices for segments was designed, and the results of classify or recognition was improved.