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  • 标题:Remote Sensing and Artificial Intelligence in the Mine Action Sector
  • 本地全文:下载
  • 作者:Martin Jebens ; Rob White
  • 期刊名称:Journal of ERW and Mine Action
  • 印刷版ISSN:1533-9440
  • 出版年度:2021
  • 卷号:25
  • 期号:1
  • 语种:English
  • 出版社:James Madison University
  • 摘要:Remote sensing and artificial intelligence (AI) technologies are included in discussions of how technology and innovation can improve humanitarian action and international peacekeeping. These technologies have the potential to improve the capacity to assess needs and to monitor changes on the ground and can be useful for both the mine action (MA) and broader humanitarian sectors. Even though remote sensing and AI are not the silver bullet in MA and come with several challenges (e.g., operational and data protection), the International Committee of the Red Cross (ICRC) and the Geneva International Centre for Humanitarian Demining (GICHD) believe that the integration of remote sensing and AI into the MA sector will enhance evidence-based decision making, aiding in determining priorities for surveying and clearance of contaminated areas and enabling the scarce recourses available for MA activities worldwide to be appropriately directed and used as efficiently as possible. On the 20th and 22nd of April, ICRC and GICHD co-hosted a webinar on remote sensing and AI in the mine action sector. The following is a review of the key benefits and challenges discussed during the two days.
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