Title :
An Algorithm of Dim Target Detection Based on Strap-down Decoupling Extended Kalman Filter
Author :
Lu, Zhang ; Shanzhu, Xiao ; Zhiyong, Zhang ; Huanzhang, Lu
Author_Institution :
ATR Lab., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
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 strap-down 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.
Keywords :
Kalman filters; cameras; least mean squares methods; object detection; dim target detection; extended Kalman filter; guiding system; image generation; imaging detection; least mean square filter; moving camera; strap-down decoupling; strap-down inertia information; Cameras; Image analysis; Image motion analysis; Matched filters; Motion detection; Object detection; Optical filters; Optical imaging; Spatial filters; Trajectory; detection; extended Kalman filter (EKF); strap-down inertial decouple; two dimension least mean square (TDLMS);
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.432
