By Topic

Dim point target detection based on novel complex background suppression

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Zhao Fei ; Nat. Key Lab. of Autom. Target Recognition (ATR), Nat. Univ. of Defense Technol.(NUDT), Changsha, China ; Zhang Zhi-yong ; Lu Huan-zhang

A novel complex background suppression based dim point target detection algorithm is presented in this study. Comparing with existing spatial-filter-based background suppression algorithms, the nucleus similarity degree (NSD) of each pixel is analyzed first, then the complex background is predicted by fusing results of two different predictors, and the complex background is removed by subtracting the fused prediction result. A thresholding process is performed on the remnant image, and the target trajectories are detected in binary image sequences to confirm the potential targets. Experimental results indicated that the method can predict the heavily cluttered background accurately as well as enhance the point target, and detect target trajectories effectively. Moreover, the pixel-level processing which is time-consuming in the algorithm is suitable for hardware implementation, this makes a feasible way to achieve real time processing in Automatic Target Recognition (ATR) weapon system.

Published in:

Computer Vision in Remote Sensing (CVRS), 2012 International Conference on

Date of Conference:

16-18 Dec. 2012