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Adjacent Infrared Multitarget Detection Using Robust Background Estimation
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-30
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Small target detection is very important for infrared search and track (IRST) problems.
Grouped targets are difficult to detect using the conventional constant false alarm rate (CFAR) detection method.
In this study, a novel multitarget detection method was developed to identify adjacent or closely spaced small infrared targets.
The neighboring targets decrease the signal-to-clutter ratio in hysteresis threshold-based constant false alarm rate (H-CFAR) detection, which leads to poor detection performance in cluttered environments.
The proposed adjacent target rejection-based robust background estimation can reduce the effects of the neighboring targets and enhance the small multitarget detection performance in infrared images by increasing the signal-to-clutter ratio.
The experimental results of the synthetic and real adjacent target sequences showed that the proposed method produces an upgraded detection rate with the same false alarm rate compared to the recent target detection methods (H-CFAR, Top-hat, and TDLMS).
American Psychological Association (APA)
Kim, Sungho& Kim, Kyung-Tae. 2016. Adjacent Infrared Multitarget Detection Using Robust Background Estimation. Journal of Sensors،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1110591
Modern Language Association (MLA)
Kim, Sungho& Kim, Kyung-Tae. Adjacent Infrared Multitarget Detection Using Robust Background Estimation. Journal of Sensors No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1110591
American Medical Association (AMA)
Kim, Sungho& Kim, Kyung-Tae. Adjacent Infrared Multitarget Detection Using Robust Background Estimation. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1110591
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110591