Title :
Study on target recognition probability based on matching algorithm combining gray and template
Author :
Lei Jing ; Xiaofang, Wang ; Hai, Lin
Author_Institution :
Dept. of Aerosp. Eng., Beijing Inst. of Technol., Beijing, China
Abstract :
The field of view (FOV) of image seeker is simulated and a template matching method is proposed based on gray and features in order to study the target recognition probability of optical image guided missile and improve the capability of missile attacking the target in complex background autonomously. Then the FOV and template matching method are combined together and optimized to design a target recognition algorithm which is used to recognize the target in complex battlefield background. Experiments in which missile-target distance, directions of targets entering the FOV of image seeker and the complexity of background are different, are designed to validate the algorithm and study the target recognition probability of optical image guided missile when targets are in complex background.
Keywords :
image colour analysis; image matching; missile guidance; optical tracking; probability; target tracking; complex battlefield background; field of view; gray image; image seeker; matching algorithm; missile target attack; missile-target distance; optical image guided missile; target recognition probability; template matching; Algorithm design and analysis; Image processing; Image recognition; Missiles; Optical computing; Optical design; Optical fibers; Pixel; Target recognition; Weapons; FOV; Image processing; Target recognition probability; Template matching;
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
DOI :
10.1109/ICCDA.2010.5541056
