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Targeted Information Collection for Nuclear Verification: A Combination of Object-based Images Analysis and Pixel-based Change Detection with Very High Resolution Satellite Data exemplified for Iranian Nuclear Sites

机译:核查的有针对性的信息收集:基于对象的图像分析和基于像素的变化检测与超高分辨率卫星数据的结合,以伊朗核基地为例

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摘要

Since the availability of spatial high resolution satellite imagery, the use of remote sensing data has become very important for nuclear monitoring and verification purposes. For the detection of small structural objects in high-resolution imagery recent object-based procedures seem to be more significant than the traditional pixel-based approaches. The detection of undeclared changes within facilities is a key issue of nuclear verification. Monitoring nuclear sites based on a satellite imagery database requires the automation of image processing steps. The change detection procedures in particular should automatically discriminate significant changes from the background. Besides detection, also identification and interpretation of changes is crucial. This paper proposes an new targeted change detection methodology for nuclear verification. Pixel-based change detection and object-based image analysis are combined to detect, identify and interpret significant changes within nuclear facilities using multitemporal satellite data. The methodology and its application to case studies on Iranian nuclear facilities will be presented.
机译:由于空间高分辨率卫星图像的可用性,遥感数据的使用对于核监测和核查目的已经变得非常重要。为了检测高分辨率图像中的小结构物体,基于对象的程序似乎比传统的基于像素的方法更重要。检测设施内部未申报的变更是核查核查的关键问题。基于卫星图像数据库监视核站点需要图像处理步骤的自动化。变更检测过程尤其应自动将与背景之间的重大变更区分开。除了检测之外,更改的识别和解释也至关重要。本文提出了一种新的针对性核查的目标变更检测方法。基于像素的变化检测和基于对象的图像分析相结合,可以使用多时相卫星数据检测,识别和解释核设施内的重大变化。将介绍该方法学及其在伊朗核设施案例研究中的应用。

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