Paper
1 July 2002 Screening closing scenarios for tactical targets
Author Affiliations +
Abstract
The first step in an automatic image target acquisition system is determining the location of candidate objects. Screening for targets must also be done within a tactical scenario timeframe. The screening process must only require a portion of the processing workload since other algorithms must execute in the same time frame. The detection of these candidate objects is allocated to two functions within the same algorithm. The first is a pre-screener and other is a clutter rejection component that will categorize the object nomination into target or non-target classes. This paper describes a screener that meets the necessary requirements for tactical operations. It uses the magnitude and direction of the image gradient. Locations are nominated by looking at local neighborhoods in this gradient space. Regions of interest are then selected and various features are extracted. These features are selected both for their information content and their ease of calculation. Using a Bayes approach, target candidates are selected as plausible targets of interest.
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Jason A. Sefcik, Harry Charles Lee, and Teresa L. P. Olson "Screening closing scenarios for tactical targets", Proc. SPIE 4714, Acquisition, Tracking, and Pointing XVI, (1 July 2002); https://doi.org/10.1117/12.472597
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KEYWORDS
Detection and tracking algorithms

Image processing

Image segmentation

Target detection

Infrared imaging

Infrared radiation

Target acquisition

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