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基于权重的层次矢量量化体压缩算法及其在空间环境中的应用

包黎莉 蔡燕霞 林瑞淋 刘四清 师立勤 曹勇

包黎莉, 蔡燕霞, 林瑞淋, 刘四清, 师立勤, 曹勇. 基于权重的层次矢量量化体压缩算法及其在空间环境中的应用[J]. 空间科学学报, 2021, 41(3): 425-430. doi: 10.11728/cjss2021.03.425
引用本文: 包黎莉, 蔡燕霞, 林瑞淋, 刘四清, 师立勤, 曹勇. 基于权重的层次矢量量化体压缩算法及其在空间环境中的应用[J]. 空间科学学报, 2021, 41(3): 425-430. doi: 10.11728/cjss2021.03.425
BAO Lili, CAI Yanxia, LIN Ruilin, LIU Siqing, SHI Liqin, CAO Yong. A Weight Based Hierarchical Vector Quantization Algorithm for Space Environment Volume Data[J]. Journal of Space Science, 2021, 41(3): 425-430. doi: 10.11728/cjss2021.03.425
Citation: BAO Lili, CAI Yanxia, LIN Ruilin, LIU Siqing, SHI Liqin, CAO Yong. A Weight Based Hierarchical Vector Quantization Algorithm for Space Environment Volume Data[J]. Journal of Space Science, 2021, 41(3): 425-430. doi: 10.11728/cjss2021.03.425

基于权重的层次矢量量化体压缩算法及其在空间环境中的应用

doi: 10.11728/cjss2021.03.425
基金项目: 

北京市科技计划项目(Y9D0Z2B410)和深圳科技计划项目(ZDSYS201707280904031)共同资助

详细信息
    作者简介:

    包黎莉,E-mail:baoll@nssc.ac.cn

  • 中图分类号: P35;TP391

A Weight Based Hierarchical Vector Quantization Algorithm for Space Environment Volume Data

  • 摘要: 空间环境数据可视化是空间环境预报和服务的重要手段.目前基于矢量量化的压缩体绘制算法均只考虑了数据特点和压缩效果,并未结合具体应用需求.为适应空间环境体数据可视化具体应用需求,提出了一种应用驱动的压缩体绘制算法——基于权重的层次矢量量化算法(WHVQ).算法将体数据划分为43的数据块,并为数据块设置权重,重点关注区域的数据块赋予相对较大的权重值.然后,对各数据块用三层结构表示.最后,对次高层和最高层分别采用基于权重的主成分分析分裂法产生初始码书,并采用基于权重的LBG算法进行码书优化和量化.实验结果表明,该算法能够在保证整体压缩效果的同时,提升局部重点关注区域的重构质量.

     

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出版历程
  • 收稿日期:  2019-12-12
  • 修回日期:  2020-08-24
  • 刊出日期:  2021-05-15

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