首页> 外文会议>International symposium on multispectral image processing and pattern recognition;MIPPR 2009 >An Automated Detection Method of Permanent Scatterers in Radar Interferometry Based on ICA
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An Automated Detection Method of Permanent Scatterers in Radar Interferometry Based on ICA

机译:基于ICA的雷达干涉永久散射体自动检测方法。

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In synthetic aperture radar interferometry, permanent scatterers (PSs) can be regarded as a series of measurement points which is not or less influenced by temporal and geometrical decorrelation and atmospheric delay. How to effectively detect and identify PS from SAR images is one of the crucial procedures in PS interferometric system. In this paper, we present a complete procedure for the identification and exploitation of stable natural reflectors or permanent scatterers (PSs) starting from long temporal series of interferometric SAR images based on ICA. Using 4 SAR images at different time over Nanjing from satellites ENVISAT of European Space Agency, some experiments are then carried out to evaluate the performance of the proposed method both visually and quantitatively.
机译:在合成孔径雷达干涉测量法中,永久散射体(PSs)可以看作是一系列测量点,不受时间和几何去相关和大气延迟的影响。如何有效地从SAR图像中检测和识别PS是PS干涉系统中的关键程序之一。在本文中,我们从基于ICA的长时间SAR干涉序列的时间序列出发,提出了用于识别和开发稳定的自然反射器或永久散射体(PS)的完整程序。利用欧洲航天局ENVISAT卫星在南京不同时间拍摄的4张SAR图像,然后进行了一些实验,从视觉和定量方面评估了该方法的性能。

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