摘要
大数据是信息技术领域又一次颠覆性的技术革命,已在军用领域凸显潜在的应用价值。由于各类传感器广泛应用,军事系统采集到了大量移动目标的轨迹数据,但数据体量大、复杂多样且变化速度快,传统的数据分析和挖掘方法很多已不适用,难以发挥数据的效用。根据实际应用需求,论文借助大数据表示和感知的相关算法,提出了大量移动目标频繁访问的热门区域提取和轨迹相似性计算的方法,提高了计算效率,实用性较强。
Big data is another technological revolution in information technology domain ,has highlighted the potential applications in the military field .Due to the wide application of various types of sensors ,a large number of moving object trajectories has been collected .But the data is volume ,complicated and fast changing ,traditional data analysis and mining is no longer applicable in many ways .According to the actual application requirements ,with big data representation and sens‐ing algorithms ,a method of hot region extraction and similarity measures for trajectory databases is proposed ,which im‐proves the computational efficiency and practicability .
出处
《舰船电子工程》
2015年第9期35-39,74,共6页
Ship Electronic Engineering
关键词
轨迹分析
大数据表示
压缩感知
热门区域
轨迹相似性
trajectory analysis
big data representation
compressed sensing
hot region
trajectory similarity
