遥感影像清晰度评价方法的比较  

Comparative of Remote Sensing Image Clarity Evaluation

作　　者：刘鹏[1] 王荣彬[2,3] 庞文婷[1] 李慧芳[2] 李平湘[2] 

机构地区：[1]武汉大学资源与环境科学学院,湖北武汉430079 [2]武汉大学 测绘遥感信息工程国家重点实验室,湖北武汉430079 [3]中国土地勘测规划院,北京100035

出　　处：《地理空间信息》2012年第2期44-46,180,共3页Geospatial Information

基　　金：国家自然科学基金资助项目(41071269);中国土地勘测规划院资助项目(20101709369);中央高校基本科研业务费专项资助项目(2010-156)

摘　　要：清晰度是反映影像质量的重要因素。首先对遥感影像的清晰度评价方法进行了总结,重点介绍了平均梯度、灰度-梯度共生矩阵和Q指数3种方法,并通过大量测试比较了3种方法的优劣。实验结果表明,Q指数要明显优于前2种方法,是一个较好的遥感影像清晰度评价指标。Image clarity is one of the important factors that reflect image quality.This paper firstly summarized the methods of image clarity evaluation.Then three important evaluation me-thods were introduced,which included average gradient,the gray level-gradient co-occurrence matrix(GLGCM) and Metric Q.Finally,a large number of tests were conducted which aimed to distin-guish the three methods.The result shows that Metric Q is significantly better than the first two methods and can be used to evaluate image clarity efficiently.

关 键 词：清晰度 平均梯度 灰度-梯度共生矩阵 Q指数 

分 类 号：P237[天文地球—摄影测量与遥感]