智能电子助航设备:一种新方法

C. Barbu, M. Lohrenz, G. Layne
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引用次数: 2

摘要

具有智能杂波管理能力的智能设备可以增强用户在不利条件下的态势感知。提出了两种帮助用户进行目标检测和杂波分析的方法,并进一步详细介绍了如何将这些工具与电子海图系统集成的建议。第一个工具是AdaBoost的多视图概括,它可以帮助用户找到部分被显示杂乱遮挡的目标。第二种技术通过地理空间和色彩空间的聚类特征来确定电子显示器中杂波的有意义的度量。杂波度量与初步的、主观的杂波等级相关。如果显示杂乱会对性能造成潜在危害,则可以向用户发出警告。利用合成数据集和真实数据集对该方法进行性能评估,并与现有分类器融合策略进行比较
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Electronic Navigational Aids: A New Approach
Intelligent devices, with smart clutter management capabilities, can enhance a user's situational awareness under adverse conditions. Two approaches to assist a user with target detection and clutter analysis are presented, and suggestions on how these tools could be integrated with an electronic chart system are further detailed. The first tool, which can assist a user in finding a target partially obscured by display clutter, is a multiple-view generalization of AdaBoost. The second technique determines a meaningful measure of clutter in electronic displays by clustering features in both geospatial and color space. The clutter metric correlates with preliminary, subjective, clutter ratings. The user can be warned if display clutter is a potential hazard to performance. Synthetic and real data sets are used for performance evaluation of the proposed technique compared with recent classifier fusion strategies
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