利用归一化互信息进行基于像斑的遥感影像变化检测  

Segment-based Remote Sensing Image Change Detection Using Normalized Mutual Information

作　　者：李亮[1] 舒宁[1] 王琰[1] 

机构地区：[1]武汉大学遥感信息工程学院,武汉430079

出　　处：《遥感信息》2011年第6期18-22,共5页Remote Sensing Information

基　　金：湖北省自然科学基金计划重大项目2006ABD003;中央高校基本科研业务费专项资金资助-武汉大学博士生自主研究项目

摘　　要：提出了利用遥感影像分割获取像斑进行变化检测的方法。将归一化互信息引入到遥感影像变化检测中,利用像斑的灰度直方图以及联合灰度直方图计算像斑的归一化互信息,依据条件熵最小的原则,获取最佳划分阈值,并与相关系数法进行了比较。实验结果显示归一化互信息法更适用于遥感影像变化检测。This paper proposed a change detection method,which uses the segments obtained from the image segmentation.Normalized mutual information was introduced into the change detection of remote sensing images.Histogram and joint histogram of segments are used to calculate the normalized mutual information.The best threshold was calculated based on the smallest conditional entropy.Using the normalized mutual information the method compared with the one using correlation coefficient,it shows the normalized mutual information is more suitable for change detection of remote sensing images.

关 键 词：像斑 归一化互信息 条件熵 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]