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Anomaly Detection in Ground Object of Underground Nuclear Explosion Using TM Image

机译:使用TM图像的地下核爆炸地面对象的异常检测

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摘要

The comparison of multi-spectral images (so-called change detection) before and after the underground nuclear test can reduce search area for the on-site inspection and assist us in locating underground nuclear explosion (UNE). With TM images and multivariate alteration detection method, anomaly detection in ground object of a UNE was carried out by taking Pakistan UNE event as an example. In this paper a post-processing method was proposed based on the multivariate alteration detection. The correlation analysis between multivariate alteration detection variables and original multi-spectral images was studied as well as abnormal spectral characteristics of ground object associated with the UNE. The results indicated that the surface anomaly associated with the UNE partially corresponds to the observable phenomenon on the multi-spectral image and it is detectable through certain methods. The results also suggest that the multivariate alteration detection be in good generality on detecting anomaly in ground object of the UNE.
机译:地下核试验前后的多光谱图像(所谓的变化检测)的比较可以减少现场检查的搜索区域,并帮助我们定位地下核爆炸(UNE)。通过TM图像和多变量改变检测方法,通过以巴基斯坦UNE事件为例,通过将UNE的地面对象进行异常检测。本文提出了一种基于多变量改变检测的后处理方法。研究了多变量改变检测变量和原始多光谱图像的相关性分析以及与UNE相关的地对象的异常谱特性。结果表明与UNE相关联的表面异常部分对应于多光谱图像上可观察现象,并且通过某些方法可检测。结果还表明,多变量改变检测在良好的普遍上造成良好的普遍性,检测UNE的地面对象的异常。

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