KERNEL-BASED STORM TRACKING IN RADAR DATA

被引：0
|
作者：
Picus, C. [1 ]
Beleznai, C. [2 ]
Nowak, C. [2 ]
Ramoser, H. [2 ]
Mitterhuber, S. [2 ]
机构：
[1] Austrian Res Ctr GmbH, A-1220 Vienna, Austria
[2] Adv Comp Vis GmbH, A-1220 Vienna, Austria
来源：
2008 IEEE RADAR CONFERENCE, VOLS. 1-4 | 2008年
关键词：
nowcasting; thunderstorm tracking; mean-shift algorithm;
D O I：
暂无
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
The tracking of storm centres in radar data is of particular importance for short term weather prediction and specifically thunderstorm prediction. This paper presents a method to track storm centres in terrestrial radar images. Mean shift segmentation is used to outline storm centres and mean shift tracking to locate the storm in the consecutive images. Re sults demonstrate the ability of the method to deal with deformable objects such as storm centres. Moreover the method is able to handle the splitting and merging of the convective cells.
引用
收藏
页码：556 / +
页数：3
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