中文摘要：

提出一种基于信息熵的景象匹配区选取方法。根据基准图的适配性要求,分别以改进的图像信息熵、Frieden灰度熵和归一化平均互信息作为特征指标,考查基准图的景象信息量、特征稳定性和区域唯一性,并以此为依据,采取分层选取策略选取基准图。仿真和实验结果表明,所选基准图具有较高的自匹配概率和较小的匹配误差,能够满足适配性要求。

英文摘要：

A new selection method for the scene matching area（SMA）based on information entropy is proposed. To improve the reliability in selecting the SMA,the scene matching ability parameters including image entropy,Frieden entropy and normalized mutual information are defined based on entropy theory to evaluate the information content,stability and unique characteristic of the SMA.According to that,the best SMA is selected step by step.Experiment results validate that the SMA selected by this method has high matching probability and low matching errors.The method,which is logical and reasonable,can meet the matching requirements.