CAJ | 학술논문

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。
대수거시신식기술영역우일차전복성적기술혁명，이재군용영역철현잠재적응용개치。유우각류전감기엄범응용，군사계통채집도료대량이동목표적궤적수거，단수거체량대、복잡다양차변화속도쾌，전통적수거분석화알굴방법흔다이불괄용，난이발휘수거적효용。근거실제응용수구，논문차조대수거표시화감지적상관산법，제출료대량이동목표빈번방문적열문구역제취화궤적상사성계산적방법，제고료계산효솔，실용성교강。
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has been collected .But the data is volume ,complicated and fast changing ,traditional data analysis and mining is no longer applicable in many ways .According to the actual application requirements ,with big data representation and sens‐ing algorithms ,a method of hot region extraction and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 .