A new infrared small and dim target detection algorithm based on multi-directional composite window

Xin Yang; Yanpei Zhou; Dake Zhou; Ruigang Yang; Yinji Hu

doi:10.1016/j.infrared.2015.04.014

A new infrared small and dim target detection algorithm based on multi-directional composite window

Xin Yang, Yanpei Zhou, Dake Zhou, Ruigang Yang, Yinji Hu

Computer Science

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

Abstract This work presents a new method based on gray characteristic analysis for infrared dim small target detection under complex backgrounds. Firstly, an improved detection window with eight directions and three layers is introduced to investigate the gray distribution characteristic of different structure in an infrared image. Secondly, we adopt a pretreatment process based on morphology filter and mean filter to reduce the running time and propose a detection rule on characteristic analysis for infrared targets. Meanwhile a new parameter optimization algorithm based on fuzzy control theory is employed so that the detection rule could be independent of the initial parameters. Finally, experimental results indicate that the proposed method can effectively detect the dim small targets and has better tracking performance.

Original language	English
Article number	1779
Pages (from-to)	402-407
Number of pages	6
Journal	Infrared Physics and Technology
Volume	71
DOIs	https://doi.org/10.1016/j.infrared.2015.04.014
State	Published - Jul 10 2015

Bibliographical note

Funding Information:
This research was supported by the National Natural Science Foundation of China ( 61172135 ), by Science & Technology on Electro-optic Control Laboratory and Aeronautical Science Foundation of China ( 20145152027 ), by Foundation of Graduate Innovation Center in NUAA ( kfjj201426 ) and by the Fundamental Research Funds for the Central Universities .

Publisher Copyright:
© 2015 Elsevier B.V.

Keywords

Gray characteristic
Improved detection window
Infrared dim small targets
Target detection

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Condensed Matter Physics

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10.1016/j.infrared.2015.04.014

Cite this

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title = "A new infrared small and dim target detection algorithm based on multi-directional composite window",

abstract = "Abstract This work presents a new method based on gray characteristic analysis for infrared dim small target detection under complex backgrounds. Firstly, an improved detection window with eight directions and three layers is introduced to investigate the gray distribution characteristic of different structure in an infrared image. Secondly, we adopt a pretreatment process based on morphology filter and mean filter to reduce the running time and propose a detection rule on characteristic analysis for infrared targets. Meanwhile a new parameter optimization algorithm based on fuzzy control theory is employed so that the detection rule could be independent of the initial parameters. Finally, experimental results indicate that the proposed method can effectively detect the dim small targets and has better tracking performance.",

keywords = "Gray characteristic, Improved detection window, Infrared dim small targets, Target detection",

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T1 - A new infrared small and dim target detection algorithm based on multi-directional composite window

AU - Yang, Xin

AU - Zhou, Yanpei

AU - Zhou, Dake

AU - Yang, Ruigang

AU - Hu, Yinji

N1 - Funding Information: This research was supported by the National Natural Science Foundation of China ( 61172135 ), by Science & Technology on Electro-optic Control Laboratory and Aeronautical Science Foundation of China ( 20145152027 ), by Foundation of Graduate Innovation Center in NUAA ( kfjj201426 ) and by the Fundamental Research Funds for the Central Universities . Publisher Copyright: © 2015 Elsevier B.V.

PY - 2015/7/10

Y1 - 2015/7/10

N2 - Abstract This work presents a new method based on gray characteristic analysis for infrared dim small target detection under complex backgrounds. Firstly, an improved detection window with eight directions and three layers is introduced to investigate the gray distribution characteristic of different structure in an infrared image. Secondly, we adopt a pretreatment process based on morphology filter and mean filter to reduce the running time and propose a detection rule on characteristic analysis for infrared targets. Meanwhile a new parameter optimization algorithm based on fuzzy control theory is employed so that the detection rule could be independent of the initial parameters. Finally, experimental results indicate that the proposed method can effectively detect the dim small targets and has better tracking performance.

AB - Abstract This work presents a new method based on gray characteristic analysis for infrared dim small target detection under complex backgrounds. Firstly, an improved detection window with eight directions and three layers is introduced to investigate the gray distribution characteristic of different structure in an infrared image. Secondly, we adopt a pretreatment process based on morphology filter and mean filter to reduce the running time and propose a detection rule on characteristic analysis for infrared targets. Meanwhile a new parameter optimization algorithm based on fuzzy control theory is employed so that the detection rule could be independent of the initial parameters. Finally, experimental results indicate that the proposed method can effectively detect the dim small targets and has better tracking performance.

KW - Gray characteristic

KW - Improved detection window

KW - Infrared dim small targets

KW - Target detection

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A new infrared small and dim target detection algorithm based on multi-directional composite window

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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