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

As compared to a pixels' regular neighborhood system,the morphology and distribution of segments are irregular,which makes the quantity of neighborhood cliques in RAGMRF 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.