| 基于支持向量机的遥感大雾判识 |
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| 引用本文： | 刘年庆,蒋建莹,吴晓京.基于支持向量机的遥感大雾判识[J].气象,2007,33(10):73-79. |
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| 作者姓名： | 刘年庆 蒋建莹 吴晓京 |
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| 作者单位： | 国家卫星气象中心,北京,100081 |
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| 基金项目： | 致谢：文章得到了国家卫星气象中心方宗义研究员的热心指导,特表示谢意! |
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| 摘 要： | 提出了一种基于支持向量机的卫星遥感数据大雾判识方法:首先通过对风云1D卫星大雾区域的各通道辐射值出现频次进行概率统计,利用其阈值来粗判识大雾;然后在粗判识的基础上通过支持向量机的方法进行大雾细判识;最后利用腐蚀和膨胀的图像处理技术对判识后的图像进行优化处理。在对我国2006年9-12月的65条监测到大雾的风云1D轨道的探测数据进行分析之后,发现大雾判识结果与专家标记吻合。检验结果表明,利用1、2、4、6、7、10通道组合进行粗判识的结果最好,5交叉正确率为89.9849%,TS评分为74.04%。利用上述方法对个例的分析检验表明,基于支持向量机的遥感大雾判识方法是切实可行的。
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| 关 键 词： | 遥感大雾判识 概率统计 支持向量机 腐蚀膨胀 |
| 收稿时间： | 6/6/2007 12:00:00 AM |
| 修稿时间： | 2007-06-062007-08-05 |
Fog Judgment Based on the Support Vector Machine by Remote Sensing Data |
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| Liu Nianqing,Jiang Jianying and Wu Xiaojing.Fog Judgment Based on the Support Vector Machine by Remote Sensing Data[J].Meteorological Monthly,2007,33(10):73-79. |
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| Authors: | Liu Nianqing Jiang Jianying and Wu Xiaojing |
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| Institution: | National Satellite Meteorological Center,Beijing 100081 |
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| Abstract: | A method is put forward to recognize the fog based on the support vector machine,according to the satellite remote sensing data.Firstly,the probability statistics method is used to roughly judge the fog,according to the frequency of the fog areas appearing at different channels of FY-1D satellite;secondly,based on the former judgment,the support vector machine is applied to judge the fog carefully;lastly,erosion and dilation techniques are used to optimize the result of the second procedure.From September to December in 2006,65 overpasses of FY-1D satellite data including fog areas are analyzed,and the judged fog areas are found to correspond well to the experts' experience.And the result shows that the combination of 1,2,4,6,7 and 10 channels is the best of judgment.The 5-fold cross-validation is 89.9849% and the TS score is74.04%.This method is also used to recognize the fog during other time,and found that this method is excellent. |
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| Keywords: | fog judgment by remote sensing data probability statistics support vector machine erosion and dilation |
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