Paper
15 May 2012 Three plot correlation-based small infrared target detection in dense sun-glint environment for infrared search and track
Sungho Kim, Byungin Choi, Jieun Kim, Soon Kwon, Kyung-Tae Kim
Author Affiliations +
Abstract
This paper presents a separate spatio-temporal filter based small infrared target detection method to address the sea-based infrared search and track (IRST) problem in dense sun-glint environment. It is critical to detect small infrared targets such as sea-skimming missiles or asymmetric small ships for national defense. On the sea surface, sun-glint clutters degrade the detection performance. Furthermore, if we have to detect true targets using only three images with a low frame rate camera, then the problem is more difficult. We propose a novel three plot correlation filter and statistics based clutter reduction method to achieve robust small target detection rate in dense sun-glint environment. We validate the robust detection performance of the proposed method via real infrared test sequences including synthetic targets.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sungho Kim, Byungin Choi, Jieun Kim, Soon Kwon, and Kyung-Tae Kim "Three plot correlation-based small infrared target detection in dense sun-glint environment for infrared search and track", Proc. SPIE 8393, Signal and Data Processing of Small Targets 2012, 83930T (15 May 2012); https://doi.org/10.1117/12.916675
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Target detection

Spatial filters

Infrared search and track

Environmental sensing

Image filtering

Infrared detectors

Infrared radiation

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