Improving variance estimation ratio score calculation for slow moving point targets detection in infrared imagery sequences

Revital Huber-Shalem; Ofer Hadar; Stanley R. Rotman; Merav Huber-Lerner; Stanislav Evstigneev

doi:10.1117/12.2023681

30 September 2013 Improving variance estimation ratio score calculation for slow moving point targets detection in infrared imagery sequences

Revital Huber-Shalem, Ofer Hadar, Stanley R. Rotman, Merav Huber-Lerner, Stanislav Evstigneev

Author Affiliations +

Proceedings Volume 8857, Signal and Data Processing of Small Targets 2013; 885707 (2013) https://doi.org/10.1117/12.2023681
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

Abstract

Infrared (IR) imagery sequences are commonly used for detecting moving targets in the presence of evolving cloud clutter or background noise. This research focuses on slow moving point targets that are less than one pixel in size, such as aircraft at long ranges from a sensor. The target detection performance is measured via the variance estimation ratio score (VERS), which essentially calculates the pixel scores of the sequences, where a high score indicates a target is suspected to traverse the pixel. VERS uses two parameters – long and short term windows, which were predetermined individually for each movie, depending on the target velocity and on the clouds intensity and amount, as opposed to clear sky (noise), in the background. In this work, we examine the correlation between the sequences' spatial and temporal features and these two windows. In addition, we modify VERS calculation, to enhance target detection and decrease cloud-edge scores and false detection. We conclude this work by evaluating VERS as a detection measure, using its original version and its modified version. The test sequences are both original real IR sequences as well as their relative compressed sequences using our designated temporal DCT quantization method.

Citation Download Citation

Revital Huber-Shalem, Ofer Hadar, Stanley R. Rotman, Merav Huber-Lerner, and Stanislav Evstigneev "Improving variance estimation ratio score calculation for slow moving point targets detection in infrared imagery sequences", Proc. SPIE 8857, Signal and Data Processing of Small Targets 2013, 885707 (30 September 2013); https://doi.org/10.1117/12.2023681

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