实现武装冲突的远程监控
Valerie Sticher1,2, Jan D Wegner3, Birke Pfeifle2
1AI Governance Pillar, AI Singapore, innovation 4.0, 3 Research Link, 117602, Singapore.
PNAS nexus
|June 28, 2023
概括
卫星图像对于监测武装冲突至关重要,深度学习可以实现自动化分析. 研究应该优先考虑自由可用的卫星数据,以在人权和人道主义努力中产生更大的社会影响.
科学领域:
- 地理空间情报是什么?
- 冲突研究 冲突研究
- 遥感是一种远程传感.
背景情况:
- 卫星图像在武装冲突中的作用已经超出了军事用途.
- 深度学习的进步使得用于冲突监测的卫星数据的自动化分析成为可能.
- 乌克兰战争凸显了卫星图像在当代冲突中的重要性.
研究的目的:
- 评估目前关于武装冲突远程监测的研究环境.
- 确定增加未来研究的积极社会影响的机会.
- 向可扩展和可转移的冲突监测解决方案指导未来的研究重点.
主要方法:
- 基于冲突事件,背景,范围,技术和图像类型的文献审查和现有研究的分类.
- 分析方法选择如何影响人权,人道主义和维和行动者的应用开发.
- 评估未来的研究方向,强调适度空间但高时间分辨率图像的价值.
主要成果:
- 现有的研究往往集中在高空间分辨率图像上,这可能会限制可扩展性.
- 具有中等空间和高时间分辨率的自由可用的卫星图像提供了更具可扩展性和可转移性的选择.
- 该研究绘制了当前研究的地图,并讨论了它对各种非军事参与者的影响.
结论:
- 优先研究自由可用的高时间分辨率卫星图像,可以带来更大的社会效益.
- 开发可扩展和可转移的冲突监测解决方案需要关注可访问的数据.
- 需要共同努力,创建大型,非敏感的冲突事件数据集,并促进跨学科的合作,以监测敏感的冲突.
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