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频高图Es层回波的自动识别

王胜 周晨 姜春华 杨国斌 赵正予

王胜, 周晨, 姜春华, 杨国斌, 赵正予. 频高图Es层回波的自动识别[J]. 空间科学学报, 2019, 39(4): 432-441. doi: 10.11728/cjss2019.04.432
引用本文: 王胜, 周晨, 姜春华, 杨国斌, 赵正予. 频高图Es层回波的自动识别[J]. 空间科学学报, 2019, 39(4): 432-441. doi: 10.11728/cjss2019.04.432
WANG Sheng, ZHOU Chen, JIANG Chunhua, YANG Guobin, ZHAO Zhengyu. Automatical Scaling of Es Layer Echoes on Ionograms ormalsize[J]. Journal of Space Science, 2019, 39(4): 432-441. doi: 10.11728/cjss2019.04.432
Citation: WANG Sheng, ZHOU Chen, JIANG Chunhua, YANG Guobin, ZHAO Zhengyu. Automatical Scaling of Es Layer Echoes on Ionograms ormalsize[J]. Journal of Space Science, 2019, 39(4): 432-441. doi: 10.11728/cjss2019.04.432

频高图Es层回波的自动识别

doi: 10.11728/cjss2019.04.432
基金项目: 

国家自然科学基金项目(41604133),博士后基金项目(2016M592374)和中央高校基本科研业务费专项基金项目共同资助

详细信息
    作者简介:

    姜春华,chuajiang@whu.edu.cn

  • 中图分类号: P352

Automatical Scaling of Es Layer Echoes on Ionograms ormalsize

  • 摘要: 提出了一种基于决策树算法的自动识别Es层回波的方法以提高Es识别效率.通过自适应二值化以及中值滤波算法对频高图进行预处理,并提取有效的Es回波区域.利用Es层在虚高轴分布的规律,通过图像投影的方法选择出特征,将这些特征以及时间信息作为决策树算法的输入;通过人工识别方式为每幅频高图标明是否存在Es回波的标签,与决策树算法的输出进行比较.对训练集进行训练、剪枝,获取最接近人工识别结果的决策树,使用测试集对获取的决策树进行测试验证.本文使用云南普洱站(22.7°N,101.5°E)记录的频高图数据作为训练集,分别使用云南普洱站(22.7°N,101.5°E)和四川乐山站(29.5°N,103.7°E)的频高图数据作为测试集对该方法进行测试验证,结果表明该方法对普洱站和乐山站两地Es二跳回波的识别均具有较高的准确率,分别达到84.2%和82.8%.

     

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出版历程
  • 收稿日期:  2018-08-13
  • 修回日期:  2019-02-22
  • 刊出日期:  2019-07-15

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