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Change Detection of Multi-spectral Remote Sensed Images Based on PCA and EM Algorithm
基于PCA与EM算法的多光谱遥感影像变化检测研究

Keywords: Change detection,Principal component analysis,EM,Multi-spectral,Remote sensed images
变化检测
,主成分变换,EM,多光谱,遥感影像

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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.

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