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Land Border Permeability and Irregular Migration Using Geospatial Intelligence from Satellite Data

机译:使用从卫星数据的地理空间智能的土地边界渗透性和不规则迁移

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摘要

Prediction about how migrants move in the pre-border terrain is important for effective border control. In this paper we present a method to obtain permeability indicators for accessibility and concealment on the basis of geographical terrain features, derived from high resolution satellite data. The indicators are used to estimate the mobility of migrants. A modelto predict the density of migrants arriving at the border, and to assess the impact of security measures, is introduced and discussed. The model was implemented and tested. The results are used as value adding products in pre-operational services for border control. Validation has to be done using actual irregular border-crossing geo-oriented statistics. By the time this paper was written no such statistics were available.
机译:预测移民如何在前边界地形中移动对有效的边境控制很重要。在本文中,我们提出了一种在从高分辨率卫星数据的地理特征的基础上获得可渗透率和隐藏的渗透指标。该指标用于估计移民的流动性。介绍和讨论了模型预测到达边境的移民密度,并评估安全措施的影响。该模型是实施和测试的。结果用作边境控制预运算服务中的价值添加产品。必须使用实际不规则的边境交叉地理化统计数据来完成验证。到这篇论文写入没有此类统计数据。

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