感知、丰富和分类:ScanMaris研讨会用于评估专属经济区内船舶的异常行为

F. Jangal, Marie-Annick Giraud, M. Morel, J. Mano, A. Napoli, A. Littaye
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引用次数: 3

摘要

仅使用高性能传感器无法对专属经济区进行持续监测。一方面,所有关于观察区域的现有资料,如船只的司法历史或渔区的划定,不一定是可测量的。另一方面,如果不进行彻底的分类和分析,即使可以捕获大量可用的信息,它们也将是无用的。因此,我们提出在专属经济区对船舶轨迹进行感知,用相关的不可测量信息丰富轨迹,并利用这些信息对船舶行为进行分类。该方法的主要问题是选择指向不常见行为的相关细节以及定义区分不常见行为和欺诈行为的标准。因此,挑战在于处理多学科信息(即测深、雷达轨迹、保险数据库、天气等)和多领域标准(即司法、行为、区域、时间等)。本文介绍的体系结构旨在克服这两个问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sense, enrich and classify: The ScanMaris workshop for assessment of vessel's abnormal behavior in the EEZ
Constant monitoring of the Exclusive Economic Zone cannot be performed only using high performance sensors. On the one hand, all available information on the observed area as juridical history of vessels or delineation of fishing zone is not necessarily measurable. On the other hand, even if the large amount of available information could be caught out they would be useless if none thorough sorting and analysis are carried on. So, we propose to sense vessel trail in Exclusive Economic Zone, to enrich the trail with the relevant non-measurable information and to use this material to classify vessel behaviors. The main issues of this approach are the selection of the relevant details which point to uncommon behaviors and the definition of the criteria which allow differentiating uncommon behavior and fraudulent one. Thus, the challenge is to deal with multidisciplinary information (i.e. bathymetry, radar tracks, insurance database, weather, etc.) and multi-domain criteria (i.e. juridical, behavioral, zonal, temporal, etc.). The architecture presented here aims to overcome both the issues.
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