Title :
Application of multi-sensor data fusion technology in target recognition
Author :
Xiao Yanghui ; Shi Zelin
Author_Institution :
Chinese Acad. of Sci., Grad. Univ., Beijing, China
Abstract :
This paper presents a D-S evidence reasoning based on multi-sensor system, in which two CCD cameras and one IR sensor are used to extract features for discerning missile target, jamming light cluster and fire pile. With D-S evidence reasoning algorithm, we recognize missile target and jamming light on region square feature and cluster and fire pile on position feature, respectively. The experimental results show that the recognition probability obtained by fusing the D-S evidence of three sensors is greatly improved compared with using single sensors.
Keywords :
CCD image sensors; feature extraction; image fusion; image recognition; inference mechanisms; military computing; missiles; probability; CCD camera; D-S evidence reasoning; Dempster-Shafer reasoning; IR sensor; charged-coupled device camera; feature extraction; infrared sensor; jamming light recognition; missile target recognition; multisensor data fusion technology; position feature; recognition probability; region square feature; target recognition; Fires; Jamming; Optical filters; Optical imaging; Optical sensors; D-S algorithm; data fusion; multi-sensor system; target recognition;
Conference_Titel :
Advanced Computer Control (ICACC), 2011 3rd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8809-4
Electronic_ISBN :
978-1-4244-8810-0
DOI :
10.1109/ICACC.2011.6016449
