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

Volume

1

fYear

2010

fDate

11-12 May 2010

Firstpage

478

Lastpage

481

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);

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICICTA.2010.432

Filename

5522676