DocumentCode :
1597088
Title :
A Novel Data Fusion Method Applied in Radar Imaging Matching Position
Author :
Wang Xinguo ; Li Aihua ; Shan Bin
Author_Institution :
Xi´an Res. Inst. of Hi-Tech Hongqing Town, Xi´an, China
fYear :
2012
Firstpage :
992
Lastpage :
994
Abstract :
How to improve position precision via fusing radar multi-position data in radar imaging matching is one of research focus. In order to resolve the problem, a novel data fusion method called STCF (Space-Time Crossing Fusion) method is proposed. The method is fusing the associated data which is mined in the position results, in other words, the STCF fuse all the template position data in a single matching position firstly, which is called space fusion, then fuse the different time point positions given by radar imaging matching system, which is called time fusion. A simulation is presented, and the results show that the proposed method can improve the position precision.
Keywords :
image fusion; image matching; radar imaging; STCF; radar imaging matching position; radar multiposition data fusion method; space-time crossing fusion method; template position data fusion; Data models; Equations; Fuses; Imaging; Mathematical model; Radar imaging; Date Fusion; Imaging Matching; Position; Radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
Type :
conf
DOI :
10.1109/ISdea.2012.511
Filename :
6173370
Link To Document :
بازگشت