基于雷达反射率图像特征的冰雹暴雨识别

路志英; 刘海; 贾惠珍; 尹静

doi:10.7498/aps.63.189201

摘要

为了实现冰雹暴雨天气的识别与分类，提出了一种基于雷达反射率图像特征的自动识别方法. 对雷达回波反射率图像中冰雹回波区域和暴雨回波区域的图像特征进行提取，通过分析冰雹暴雨间单一特征的差异性和不同特征之间的分类互补性，确定了识别冰雹暴雨的有效图像特征（包括强度特征和纹理特征）. 将提取出的样本有效特征与探空数据（0 ℃和-20 ℃温度层高度）结合，利用粗糙集理论进行数据挖掘，进而建立了冰雹暴雨天气的客观识别模型. 通过对362个测试样本的测试与统计，冰雹击中率达到93.29%，暴雨的击中率达到89.27%，并且两者均具有较低的误警率. 实验结果与传统PUP系统比较，表明利用雷达反射率图像特征实现对冰雹暴雨天气的识别与分类具有较好的效果.

关键词:

Abstract

Based on radar reflectivity image features, an automatic recognition method is proposed to identify the hail and rainstorm. We extract the image features of hail echo areas and rainstorm echo areas from radar reflectivity images. By analyzing both the differences in single feature between hail and rainstorm and the classified complementarity among different features, we determine the effective image features, including the intensity and texture features, to identify the hail and rainstorm. The hail and rainstorm objective recognition model can be established through the data mining of the extracted sample features and sounding data by using the Rough Set Theory. Through the test and identification of the 362 test samples, the hit ratio of hail reaches 93.29% and the hit ratio of rainstorm reaches 89.07%. The false alarm ratios of hail and rainstorms can be also at a low level. Compared with those from the PUP system, the experimental results from the present system show that it has a good effect to identify and classify hail and rainstorm by using the radar reflectivity image features.

Keywords:

作者及机构信息

1.
天津大学电气与自动化工程学院, 天津市过程检测与控制重点实验室, 天津 300072;

2.
天津市气象局, 天津 300074

基金项目: 天津市自然科学基金（批准号：14JCYBJC21800）和气象关键技术集成与应用项目（批准号：CMAGJ2013M02）资助的课题.

Authors and contacts

1.
Department of Electrical Engineering and Automation, Tianjin University, Tianjin Key Laboratory of Process Measurement and Control, Tianjin 300072, China;

2.
Tianjin Meteorological Bureau, Tianjin 300074, China

Funds: Project supported by the Natural Science Foundation of Tianjin, China (Grant No. 14JCYBJC21800) and the Meteorological Key Technology Integration and Application Item, China (Grant No. CMAGJ2013M02).

参考文献

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[2]	Rinehart R E, Garvey E T 1978 Nature 273 287
[3]	Austin G L, Bellon 1982 Nowcasting (London: Academic Press) pp177-190
[4]	Rosenfeld D 1987 J. Atmos. Ocean. Technol. 4 422
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[11]	Zhang J G, Wang Y, Zhou J L, Yue Y 2008 Torrential Rain and Disasters 27 326 (in Chinese)[张家国, 王珏, 周金莲, 岳阳 2008 暴雨灾害 27 326]
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[17]	Liao Y F, Pan Z X, Guo Q 2006 Sci. Meteorol. Sin. 26 564 (in Chinese)[廖玉芳, 潘志祥, 郭庆 2006 气象科学 26 564]
[18]	Chen Q P, Chen Q C, Liu J X, Li B L 2011 Meteorol. Sci. Technol. 39 545 (in Chinese)[陈秋萍, 陈齐川, 刘锦绣, 李白良 2011 气象科技 39 545]
[19]	Xie X N, Liu X D 2010 Chin. Phys. B 19 109201
[20]	Zhang Y J 2004 J. Image Graph. 9 513 (in Chinese)[章毓晋 2004 中国图象图形学报 9 513]
[21]	Yue P, Liu X Y, Guo L C, L C H 2005 Arid Meteorol. 23 50 (in Chinese)[岳平, 刘晓云, 郭良才, 吕长虹 2005 干旱气象 23 50]
[22]	Tian Y Q, Guo P, Lu H Q 2004 Comput. Sci. 31 162 (in Chinese)[田艳琴, 郭平, 卢汉清 2004 计算机科学 31 162]
[23]	Wang G H, Jiang P 2004 J. Tongji Univ. 32 246 (in Chinese)[王光宏, 蒋平 2004 同济大学学报 32 246]
[24]	Pawlak Z 2002 Inform. Sci. 147 1
[25]	Pawlak Z 1998 Cybernetics and Systems 29 661
[26]	Han Z X, Zhang Q, Wen F S 1999 Control Theory and Applications 16 153 (in Chinese)[韩祯祥, 张琦, 文福拴 1999 控制理论与应用 16 153]
[27]	Wang W S 2011 Artificial Intelligence (1st Ed.) (Beijing: Posts and Telecom Press) p139 (in Chinese)[王万森 2011 人工智能 (第一版) (北京: 人民邮电出版社) 第139页]

施引文献

[1]	Rinehart R E 1981 Atmos. Technol. 13 119
[2]	Rinehart R E, Garvey E T 1978 Nature 273 287
[3]	Austin G L, Bellon 1982 Nowcasting (London: Academic Press) pp177-190
[4]	Rosenfeld D 1987 J. Atmos. Ocean. Technol. 4 422
[5]	Michael D, Gerry W 1993 J. Atmos. Ocean. Technol. 10 785
[6]	Johnson J T, Pamela L 1998 Wea. Forecasting 13 263
[7]	Zhao Y L, Huang S X, Du H D, Zhong J Q 2011 Acta Phys. Sin. 60 079202(in Chinese)[赵延来, 黄思训, 杜华栋, 仲跻芹 2011 物理学报 60 079202]
[8]	Wang P, Pan Y 2013 Acta Phys. Sin. 62 069202(in Chinese)[王萍, 潘跃 2013 物理学报 62 069202]
[9]	Huang S X, Zhao X F, Sheng Z 2009 Chin. Phys. B 18 5084
[10]	Hu W D, Li Y C, Zheng G F, Ding J J, Yang Y L, Sun Y C 2007 J. Desert Res. 27 331(in Chinese)[胡文东, 李艳春, 郑广芬, 丁建军, 杨有林, 孙银川 2007 中国沙漠 27 331]
[11]	Zhang J G, Wang Y, Zhou J L, Yue Y 2008 Torrential Rain and Disasters 27 326 (in Chinese)[张家国, 王珏, 周金莲, 岳阳 2008 暴雨灾害 27 326]
[12]	Liu L P, Xu B X, Wang Z J 1991 Plateau Meteorol. 10 317 (in Chinese)[刘黎平, 徐宝祥, 王致君 1991 高原气象 10 317]
[13]	Wang J 2008 Ph. D. Dissertation (Beijing: Graduate University of Chinese Academy of Sciences) (in Chinese)[王瑾 2008 博士学位论文 (北京: 中国科学院研究生院)]
[14]	Wang P, Niu Z Y 2014 Acta Phys. Sin. 63 019201(in Chinese)[王萍, 牛智勇 2014 物理学报 63 019201]
[15]	Yu X D 2011 Adv. Meteorol. Sci. Technol. 1 30 (in Chinese)[俞小鼎 2011 气象科技进展 1 30]
[16]	Yu X D 2006 Doppler Radar Principle and Business Applications (1st Ed.) (Beijing: China Meteorological Press) p3 (in Chinese)[俞小鼎 2006 多普勒天气雷达原理与业务应用第一版 (北京: 气象出版社) 第3页]
[17]	Liao Y F, Pan Z X, Guo Q 2006 Sci. Meteorol. Sin. 26 564 (in Chinese)[廖玉芳, 潘志祥, 郭庆 2006 气象科学 26 564]
[18]	Chen Q P, Chen Q C, Liu J X, Li B L 2011 Meteorol. Sci. Technol. 39 545 (in Chinese)[陈秋萍, 陈齐川, 刘锦绣, 李白良 2011 气象科技 39 545]
[19]	Xie X N, Liu X D 2010 Chin. Phys. B 19 109201
[20]	Zhang Y J 2004 J. Image Graph. 9 513 (in Chinese)[章毓晋 2004 中国图象图形学报 9 513]
[21]	Yue P, Liu X Y, Guo L C, L C H 2005 Arid Meteorol. 23 50 (in Chinese)[岳平, 刘晓云, 郭良才, 吕长虹 2005 干旱气象 23 50]
[22]	Tian Y Q, Guo P, Lu H Q 2004 Comput. Sci. 31 162 (in Chinese)[田艳琴, 郭平, 卢汉清 2004 计算机科学 31 162]
[23]	Wang G H, Jiang P 2004 J. Tongji Univ. 32 246 (in Chinese)[王光宏, 蒋平 2004 同济大学学报 32 246]
[24]	Pawlak Z 2002 Inform. Sci. 147 1
[25]	Pawlak Z 1998 Cybernetics and Systems 29 661
[26]	Han Z X, Zhang Q, Wen F S 1999 Control Theory and Applications 16 153 (in Chinese)[韩祯祥, 张琦, 文福拴 1999 控制理论与应用 16 153]
[27]	Wang W S 2011 Artificial Intelligence (1st Ed.) (Beijing: Posts and Telecom Press) p139 (in Chinese)[王万森 2011 人工智能 (第一版) (北京: 人民邮电出版社) 第139页]

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