基于改进的最大类间方差法的遥感影像变化检测  

Change detection for remote sensing images based on improved otsu algorithm

作　　者：徐国华[1] 张保明[1] 李旭[1] 

机构地区：[1]信息工程大学测绘学院,郑州450052

出　　处：《测绘科学》2012年第1期80-82,共3页Science of Surveying and Mapping

摘　　要：变化检测技术被广泛应用于灾情估计、环境监测、农作物生长、森林覆盖等多个领域。为了自动获取变化检测的阈值,本文仔细分析了最大类间方差的方法和原理,改进了二维最大类间方差方法在变化检测中的应用,并利用多套遥感影像数据进行了实验,实验表明了该方法的可行性和有效性。Change detection techniques are widely used in damage assessment,environment monitoring,the study of changes in vegetation,coverage of forest.In order to auto-select threshold in change detection,This paper discusses the basic principles and features of Otsu algorithm,then improved the application of 2D Otsu algorithm in change detection.Some remote sensing images are used to do change detection experiments.Experiments show the feasibility and effectiveness for the method.

关 键 词：改进最大类间方差法 变化检测 遥感影像 

分 类 号：P237.4[天文地球—摄影测量与遥感]