Optical flow assisted IRCCM algorithm for sea skimming anti-ship missile systems

Kemal Arda Özertem

doi:10.1117/12.2302418

30 April 2018 Optical flow assisted IRCCM algorithm for sea skimming anti-ship missile systems

Kemal Arda Özertem

Proceedings Volume 10648, Automatic Target Recognition XXVIII; 1064808 (2018) https://doi.org/10.1117/12.2302418
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

Military ships commonly use infrared decoys for defending themselves against infrared anti-ship missile systems. For anti-ship missiles, having a fast and robust infrared counter – counter measure (IRCCM) algorithm is crucial for overall system performance. In this paper, a straight-forward yet effective IRCCM method for sea skimming missile systems is introduced. First, the common tactics for disposing decoy are analyzed. The analysis shows that the vertical component of optical flow may contain critical information on whether there is a decoy in the scene. This idea is supported by another intensity based criterion. However optical flow calculations create a significant computational load, and to speed up the algorithm and decrease the false alarm rate, the waterline is detected by using Hough transform and the optical flow calculations are only applied to the region that is above the waterline with a margin. Since the infrared signature of both military ships and decoys are classified, some scenarios are created by using infrared scene generator. A scene generator can model the objects by considering its material information, the atmospheric conditions, detector type and the territory. The performance of overall methodology is tested with this infrared test data.

Conference Presentation

Citation Download Citation

Kemal Arda Özertem "Optical flow assisted IRCCM algorithm for sea skimming anti-ship missile systems", Proc. SPIE 10648, Automatic Target Recognition XXVIII, 1064808 (30 April 2018); https://doi.org/10.1117/12.2302418

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