A harbor background suppression approach

Xun Gong; Wen-Jun Shi

doi:10.1117/12.2204787

14 December 2015 A harbor background suppression approach

Xun Gong, Wen-Jun Shi

Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 981204 (2015) https://doi.org/10.1117/12.2204787
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

In order to resolve false segmentation and false tracking problems caused by the influence of complex harbor background during IR moving target detection, a harbor background suppression approach is presented. Firstly, Sky-sea line region can be obtained by Otsu segmentation, which is applied to split images obtained through wavelet transform. Secondly, harbor background suppression point in sequential images can be located by multilevel filter. Finally, harbor background suppression can be realized according to those background suppression points. The proposed approach is validated by using actual IR in complex harbor background to realize background suppression. Experiment results indicate the feasibility and effectiveness of the proposed method.

Citation Download Citation

Xun Gong and Wen-Jun Shi "A harbor background suppression approach", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 981204 (14 December 2015); https://doi.org/10.1117/12.2204787

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available