[1]况 源,郭银尧,白秋剑,等.基于图像处理的雷达回波外推方法[J].计算机技术与发展,2022,32(S1):135-137.[doi:10. 3969 / j. issn. 1673-629X. 2022. S1. 028]
　KUANG Yuan,GUO Yin-yao,BAI Qiu-jian,et al.Radar Echo Extrapolation Method Based on Image Processing[J].,2022,32(S1):135-137.[doi:10. 3969 / j. issn. 1673-629X. 2022. S1. 028]
点击复制

基于图像处理的雷达回波外推方法()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
32
期数:
2022年S1期
页码:
135-137
栏目:
应用前沿与综合
出版日期:
2022-12-11

文章信息/Info

Title:
Radar Echo Extrapolation Method Based on Image Processing
文章编号:
1673-629X(2022)S1--0135-03
作者:
况 源; 郭银尧; 白秋剑; 李秀娟; 周小明
宜宾市气象局,四川 宜宾 644000
Author(s):
KUANG Yuan; GUO Yin-yao; BAI Qiu-jian; LI Xiu-juan; ZHOU Xiao-ming
Yibin Municipal Meteorological Service,Yibin 644000,China
关键词:
图像处理; 雷达回波; 外推; 膨胀算法; 腐蚀算法; 漫水填充法
Keywords:
image processing; radar echo; extrapolation; expansion algorithm; corrosion algorithm; overflow filling method
分类号:
TP301
DOI:
10. 3969 / j. issn. 1673-629X. 2022. S1. 028
摘要:
气象部门在应对大风、短时强降水、雷电等强对流灾害天气时,雷达回波的未来走势对制作临近天气预报和开展气象服务具有重要参考意义。 目前预报员只能通过个人经验判断,存在较大的主观性且不能具象化;通过有效的方法外推雷达回波,绘制未来一段时间内的雷达回波走势图,能够很好的解决上述问题。 基于图像处理,将雷达回波按不同回波强度分层,对各层分别使用膨胀算法、腐蚀算法和漫水填充法,得到最新两个相邻时次的相同云团的重心偏离量和大小变化程度后,外推出雷达回波。 最后叠加分层处理的雷达回波外推图和低强度回波,得到完整的外推雷达回波图。
Abstract:
When the meteorological department is dealing with strong convective disaster weather such as strong wind,flash heavy rain,thunder and lightning,the future trend? ? ? ? of radar echo is of great reference significance for making weather nowcasting and meteorologicalservices. At present,forecasters can only judge through personal experience,which is subjective and cannot be visualized. The aboveproblems can be well solved by extrapolating radar echo through effective algorithm and drawing radar echo trend map in the future.Based on image processing,the radar echo is layered according to different echo intensities. For each layer,the expansion algorithm, corrosion algorithm and diffuse filling method are used respectively to obtain the gravity center deviation and size change degree of thesame cloud cluster in the latest two adjacent times,and then the radar echo is extrapolated. Finally,the radar echo extrapolation map andlow-intensity echo processed in layers are superimposed to obtain a complete extrapolated radar echo map.

相似文献/References:

[1]李雷 张建民.一种改善的基于支持向量机的边缘检测算子[J].计算机技术与发展,2010,(03):125.
　LI Lei,ZHANG Jian-min.An Improved Edge Detector Using the Support Vector Machines[J].,2010,(S1):125.
[2]张艳丽 保文星.粒子群优化算法在图像边缘检测中的研究应用[J].计算机技术与发展,2009,(05):26.
　ZHANG Yan-li,BAO Wen-xing.Research and Application of Image Edge Detection Based on PSO Algorithm[J].,2009,(S1):26.
[3]詹金兰 李翠华.模拟实验系统的可视化研究[J].计算机技术与发展,2009,(05):228.
　ZHAN Jin-lan,LI Cui-hua.Visualization Research on Simulation Experiment System[J].,2009,(S1):228.
[4]张家栋 张强 霍凯.图像处理在轴承荧光磁粉探伤中的应用研究[J].计算机技术与发展,2009,(08):216.
　ZHANG Jia-dong,ZHANG Qiang,HUO Kai.Study on Application of Image Processing in Bearing Fluorescent Magnetic Detection[J].,2009,(S1):216.
[5]王文豪 张亚红 朱全银 单劲松.QR Code二维条形码的图像识别[J].计算机技术与发展,2009,(10):123.
　WANG Wen-hao,ZHANG Ya-hong,ZHU Quan-yin,et al.Image Recognition in 2 - D Bar Code Based on QR Code[J].,2009,(S1):123.
[6]李孟歆 吴成东.粗糙集理论在图像处理中的应用[J].计算机技术与发展,2009,(03):208.
　LI Meng-xin,WU Cheng-dong.Rough Set Theory and Its Applications in Image Processing[J].,2009,(S1):208.
[7]武彬.一种离焦模糊图像的复原方法[J].计算机技术与发展,2008,(01):74.
　WU Bin.A Method of Defocus Blurred Image Restoration[J].,2008,(S1):74.
[8]蒋恩松 肖辉军 孙刘杰 熊清廉.基于机器视觉的套印误差自动检测系统设计[J].计算机技术与发展,2008,(07):173.
　JIANG En-song,XIAO Hui-jun,SUN Liu-jie,et al.Design of Automatic Detecting Printing Registration Deviation System Based on Machine Vision[J].,2008,(S1):173.
[9]汪继文 林胜华 沈玉峰 邱剑锋.一种基于各向异性扩散的图像处理方法[J].计算机技术与发展,2008,(08):98.
　WANG Ji-wen,LIN Sheng-hua,SHEN Yu-feng,et al.An Approach for Image Restoration Based on Anisotropic Diffusion[J].,2008,(S1):98.
[10]余志强 戎蒙恬 袁丹寿.一种用单端口SRAM构成的FIFO的ASIC设计[J].计算机技术与发展,2008,(09):159.
　YU Zhi-qiang,RONG Meng-tian,YUAN Dan-shou.ASIC Design of an FIFO Involving Single Port SRAM[J].,2008,(S1):159.

更新日期/Last Update: 2022-06-10