计算机科学 ›› 2010, Vol. 37 ›› Issue (3): 282-284.

• 图形图像及体系结构 • 上一篇    下一篇

基于PCA与EM算法的多光谱遥感影像变化检测研究

吴柯,牛瑞卿,王毅,杜博   

  1. (中国地质大学地球物理与空间信息学院 武汉430074);(武汉大学测绘遥感信息工程国家重点实验室 武汉430079)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家863计划资助项目(2007AA12Z160) , 国家自然科学基金(40672205),中科院海洋环流与波动重点实验室开放基金(KLOCAW0906)资助。

Change Detection of Multi-spectral Remote Sensed Images Based on PCA and EM Algorithm

WU Ke,NIU Rui-qing,WANG Yi,DU Bo   

  • Online:2018-12-01 Published:2018-12-01

摘要: 变化检测技术能够从观测数据中有效地提取各种变化信息。以多时相的多光谱遥感影像作为主要研究对象,就基于直接比较像元特征的变化检测中两方面的关键问题——差异影像的构造和变化阂值的提取来开展研究,具体采用PCA结合差值比较的方法构造差异影像,采用EM自动确定变化阂值以提取变化区域。通过与传统变化检测方法的实验比较,证明了该方法的有效性。

关键词: 变化检测,主成分变换,EM,多光谱,遥感影像

Abstract: Change detection can get useful changed information from the observed data about the earth. In this paper, a new technology aimed at two aspects in the directly compared way is based on pixel's characters in the multi-spectral and multi temporal remote sensed images,which arc "build the different image" and "threshold determination". In our method, an exact difference image can be made by PCA method, and then the threshold from the EM algorithm is used to obtain changed area,which can be seen as the result. Compared with the traditional method, the proposed method has a higher accuracy, and is more effective.

Key words: Change detection, Principal component analysis, EM, Multi spectral, Remote sensed images

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