Change detection in a multitemporal series of radar images

Sami Benzid, Charles Deledalles, R. Abdelfattah, F. Chaabane, F. Tupin
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引用次数: 1

Abstract

In the literature, several works are led around the radar images especially the detection of the cartographic objects, the 3D reconstruction and the change detection. Concerning this last application, several techniques compete to ensure the best possible result. In this paper, we aim first at developing an automatic detection procedure to compare between similarity measures. Then we propose a change detection technique based on the fusion of two similarity measures. The first one is the Contrast (C) measure [1] and the second one is the Rayleigh Distribution Ratio (RDR) measure [2]. The proposed method has been validated on simulated data and then applied on three radar images.
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多时相雷达图像序列的变化检测
在文献中,围绕雷达图像特别是地图学目标的检测、三维重建和变化检测等方面进行了大量的研究工作。关于最后一个应用程序,有几种技术相互竞争以确保最佳结果。在本文中,我们首先旨在开发一种自动检测程序来比较相似度量。在此基础上,提出了一种基于两个相似度量融合的变化检测技术。第一种是对比(C)测度[1],第二种是瑞利分布比(RDR)测度[2]。该方法在模拟数据上进行了验证,并应用于三幅雷达图像。
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