基于主成分分析的遥感图像变化检测  

Remote Sensing Image Change Detection Based on Principal Component Analysis

作　　者：莫德林[1] 刘克江 曹彬才 保永强 

机构地区：[1]信息工程大学地理空间信息学院,郑州450052

出　　处：《影像技术》2013年第5期53-56,共4页Image Technology

摘　　要：本文在介绍遥感图像主成分分析原理的基础上,实现了几种基于主成分分析的遥感图像变化检测方法,并比较了其优缺点。在实际应用中,可根据不同的应用特点,将两种或多种方法结合,获得更好的变化检测效果。In this paper, after introducing the theory of PCA in remote sensing image processing, different ways to achieve change detection based on PCA was conducted, their advantages and disadvantages were compared. In practical application, according to different application characteristics, two or several ways can be combined to achieve better change detection results.

关 键 词：遥感图像 主成分分析 变化检测 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]