计算机科学 ›› 2019, Vol. 46 ›› Issue (7): 333-338.doi: 10.11896/j.issn.1002-137X.2019.07.051
• 交叉与前沿 • 上一篇
宋鑫,朱宗良,高银萍,苌道方
SONG Xin,ZHU Zong-liang,GAO Yin-ping,CHANG Dao-fang
摘要： 随着船舶定位技术的进一步发展,大量船舶安装了船舶定位识别系统,该系统生成了海量的船舶轨迹数据。船舶轨迹数据经过压缩处理后能有效提高处理、应用数据的工作效率。针对现有轨迹在线压缩算法处理压缩率高、耗时长等问题,提出了一种动态阈值结合全局优化的两阶段在线压缩算法(DTGO)。该算法在第一阶段对原始轨迹进行分段处理,动态更新各项阈值,从而获得简化轨迹;在第二阶段使用改进的SPM算法对简化轨迹进行全局优化。通过对原始轨迹进行两阶段的处理,将原始轨迹分段成若干个子轨迹段,对子轨迹段进行局部处理,最后使用全局处理算法对所有子轨迹段进行全局优化。实验结果表明,该算法在提高压缩效率的同时取得了良好的压缩效果。
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