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