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Proceedings Paper

Weak point target detection in the complicated infrared background
Author(s): Pu Hong; Chensheng Wang; Zhijie Zhang
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Paper Abstract

Point target detection is an important issue for the application of infrared search and track (IRST) system. To detect the weak point target in infrared image, this paper introduces a new method based on two-steps gradient algorithm to eliminate the impact of complicated background and extract possible targets. Firstly, the characteristics of point target are analyzed based on 288x4 linear infrared FPAs. Secondly, the point targets in complicated infrared background are classified into four groups. The detection function is derived for each group, and then the comprehensive detection function is derived to extract the point target. Finally, a practical experiment is completed based on a 288x4 IRST system. It is proved that the two-steps gradient algorithm can reduce the number of possible targets which is helpful to the post-processing work.

Paper Details

Date Published: 29 November 2011
PDF: 8 pages
Proc. SPIE 8200, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 820007 (29 November 2011); doi: 10.1117/12.904671
Show Author Affiliations
Pu Hong, Huazhong Institute of Electro-Optics (China)
Wuhan National Lab. for Optoelectronics (China)
Chensheng Wang, Huazhong Institute of Electro-Optics (China)
Wuhan National Lab. for Optoelectronics (China)
Zhijie Zhang, Huazhong Institute of Electro-Optics (China)
Wuhan National Lab. for Optoelectronics (China)


Published in SPIE Proceedings Vol. 8200:
2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology

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