基于模糊聚类的SAR图像变化检测

Abstract

Abstract:

This paper proposes two fuzzy clustering algorithms,namely Fuzzy C-Means(FCM) and Gustafson Kessel Clustering(GKC),which have been used to detect changes in SAR images.The Difference Images(DI) are obtained by the gray levels of multitemporal images.To show the effectiveness of the proposed algorithms,The multitemporal images of two difference regions are chosen.Results are compared with those of existing Markov Random Field(MRF) and neural network based algorithms.The proposed technique consumes less time and does not need any priori knowledge of the distribution of the changed and unchanged pixels.

Key words: fuzzy c-means;Gustafon Kessel clustering;SAR images;change detection

CLC Number:

TP391.41

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JIA Cai-Jie. Change Detection of SAR Images Based on Fuzzy Clustering[J]., 2012, 25(10): 23-.

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URL: https://journal.xidian.edu.cn/dzkj/EN/

https://journal.xidian.edu.cn/dzkj/EN/Y2012/V25/I10/23

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