Enhancing maritime domain awareness and threat detection through space-time knowledge extraction of novel geographic information sources

通过新颖地理信息源的时空知识提取增强海域意识和威胁检测

• 批准号: 452683-2013
• 负责人: Robertson, Colin
• 金额: $ 1.82万
• 依托单位: Wilfrid Laurier University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=541066
• 关键词: Enhancing; maritime; domain; awareness; threat

MDA Systems Ltd. (MDA) is a global leader in communications technology and a pioneer of the Canadian geospatial industry. Satellite-based data are now able to describe the location of all ships at sea in near-real time. As such, MDA is developing enhanced maritime surveillance capacity to support detection of nefarious maritime activities such as illegal fishing, piracy, and pollution. True operational surveillance of the maritime environment requires more information than just ship location, such as information about maritime companies, port records, weather, vessel characteristics and environmental data. Our goal is to develop a methodology for incorporating ad-hoc geospatial information into MDA's existing and evolving maritime domain awareness system. To meet this goal, we will 1) develop a database of relevant information sources based on the initial list of web sources, 2) extract geographic and attribute information from these sources and fuse this information with ship location data, 3) develop an integration and ranking framework to support evaluation of the value of new information sources and 4) provide mapped model outputs and a web-based map interface for exploring spatially integrated maritime surveillance data.

MDA Systems Ltd.（MDA）是通信技术的全球领导者，也是加拿大地理空间行业的先驱。基于卫星的数据现在能够近实时地描述海上所有船只的位置。因此，MDA正在开发增强的海上监视能力，以支持检测非法捕鱼，海盗和污染等邪恶的海上活动。对海洋环境的真正操作监视需要的不仅仅是船舶位置，还需要更多信息，例如有关海事公司、港口记录、天气、船舶特征和环境数据的信息。我们的目标是开发一种方法，将特设的地理空间信息纳入MDA现有的和不断发展的海洋领域的意识系统。为了实现这一目标，我们将1）根据网络源的初始列表开发相关信息源的数据库，2）从这些源中提取地理和属性信息，并将这些信息与船舶位置数据融合，3）开发一个整合和排名框架，以支持对新信息源价值的评估，4）提供映射模型输出和网络-基于地图的接口，用于探索空间综合海事监视数据。