基于图像的火炮打击程度判断模型仿真  

Simulation of Artillery Strike Degree Judgment Model Based on image

作　　者：郭猛[1,2] 范平志[1] 

机构地区：[1]河南城建学院计算机科学与工程学院,河南平顶山467036 [2]西南交通大学信息科学与技术学院,四川成都610031

出　　处：《计算机仿真》2015年第6期6-8,30,共4页Computer Simulation

摘　　要：在火炮打击目标判断的研究中,通过图像对火炮打击程度进行判断,是精确作战体系不可缺少的一部分。火炮打击程度判断是建立关联判断规则的过程,在进行判断时,模型对打击程度的理解通过轮廓匹配完成,根据理解结果完成仿射参数的变换。传统的判断模型再进行匹配和映射的过程中,不能很好地区分不同区域的破坏权值与破坏特征的关系,仅仅以固定特征叠加的方式判断破坏程度,无法准确的完成火炮打击程度判断。提出采用光学图像优化判断模型的火炮打击程度判断方法,对火炮打击目标光学图像进行预处理,通过模型库中各种图像的检测模型实现火炮打击目标的检测,同时对其进行打击程度判断所需的特征提取,通过因素集对于评语集的模糊矩阵得到火炮打击目标的判断指标,依据最大隶属度理论,选择与一级模糊评判向量中最大的评判指标相应的评语集元素作为火炮打击目标的评判结果,能够实现火炮打击程度的精确判断。实验结果表明,采用改进的方法得到火炮打击程度的图像评估结果具有更高的准确性与可靠性。An artillery hit degree judgment method is presented based on optical image optimization judgment model. The artillery target optical image is preprocessed. Through the model library of various image detecting mod- el, the target detection is developed, the required features for the degree of judgment are extracted, and the evalua- tion index of artillery target is obtained through a fuzzy matrix from factor set to evaluation set. Based on the theory of maximum membership degree, the evaluation set elements are selected as evaluation results of artillery target corre- sponding the biggest evaluation indicators in fuzzy evaluation vector, and the accurate evaluation of the artillery attack degree can be achieved. The experimental results show that the improved method has high accuracy and reliability.

关 键 词：光学图像 火炮打击程度 模型仿真 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]