DocumentCode :
558770
Title :
Spatio-temporal filter based small infrared target detection in highly cluttered sea background
Author :
Kim, Sungho ; Song, Taek Lyul ; Choi, Byungin ; Lee, Boo-Hwan ; Lee, Wang-Heon
Author_Institution :
Dept. of Electron. Eng., Yeungnam Univ., Gyeongsan, South Korea
fYear :
2011
fDate :
26-29 Oct. 2011
Firstpage :
1142
Lastpage :
1146
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.
Keywords :
filtering theory; image sequences; infrared imaging; object detection; statistics; cluttered sea background; infrared test sequence; plot correlation filter; sea-based infrared search-and-track problem; small infrared target detection; spatio-temporal filter; statistics-based clutter reduction method; sun-glint environment; synthetic target; Horizonal Line; Infrared Search and Track; Small Target; Spatio-Temporal Filter; Sun-glint;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2011 11th International Conference on
Conference_Location :
Gyeonggi-do
ISSN :
2093-7121
Print_ISBN :
978-1-4577-0835-0
Type :
conf
Filename :
6106099
Link To Document :
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