An Algorithm of Dim Target Detection Based on Strap-down Decoupling Extended Kalman Filter
The detection of dim targets in imagery which captured by moving camera is one of the key techniques in imaging detection and guiding system. With the strapdown inertia information we can reduce the influence of camera move. Analyzed the mechanism of image generation and the moving formulations of space-platform and targets, proposed a detecting system including two dimensions least mean square filter, strap-down decoupling and extended Kalman filter. Simulations show that this system can detect the dim targets captured by moving camera effectively.
detection two dimension least mean square (TDLMS) strap-down inertial decouple extended Kalman filter (EKF)
Zhang Lu Xiao Shanzhu Zhang Zhiyong Lu Huanzhang
ATR Lab. National University of Defense Technology Changsha, Hunan, China
国际会议
长沙
英文
478-481
2010-05-11(万方平台首次上网日期,不代表论文的发表时间)