| 提取天气类别动态特征的算法研究 |
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| 引用本文： | 彭旭东,夏士明,孙吉明.提取天气类别动态特征的算法研究[J].电子测试,2016(10):39-40. |
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| 作者姓名： | 彭旭东 夏士明 孙吉明 |
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| 作者单位： | 1. 解放军理工大学气象海洋学院，南京，211101;2. 空军航空大学航理系，长春，130022 |
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| 摘 要： | 现有的用于天气类别识别的动态特征存在一定不足，本文进行了相应改进，提高了整体的识别率。现有的相关性特征提取依赖于人工选取天气现象明显的区域进行，基于本文的改进算法能实现天气现象的自动识别。
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| 关 键 词： | 天气 动态特征 相关性特征 |
Development of a Weather Recognition Algorithm Based on Dynamic Characteristics |
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| Abstract: | Existingdynamic characteristics used to weather recognition is lack of accuracy,this study have made some modifications to increase the overall recognition rate.Existing correlation feature extraction depends on artificial select a region where weather phenomenon is obviously,however based on an improved algorithm in this paper can realized identify weather events automatically. |
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| Keywords: | Weather Dynamic characteristics Correlation feature extraction |
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