Volume 42 Issue 11
Feb.  2014
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Gao Chenqiang, Yan Bingzao, Li Qiang. Infrared dim-small target image simulation based on nonlinear mapping model[J]. Infrared and Laser Engineering, 2013, 42(11): 2919-2924.
Citation: Gao Chenqiang, Yan Bingzao, Li Qiang. Infrared dim-small target image simulation based on nonlinear mapping model[J]. Infrared and Laser Engineering, 2013, 42(11): 2919-2924.

Infrared dim-small target image simulation based on nonlinear mapping model

  • Received Date: 2013-03-10
  • Rev Recd Date: 2013-04-13
  • Publish Date: 2013-11-25
  • As the study and evaluation of the long distance infrared dim-small target detection algorithm requires a large amount of test images, a method of the IR dim-small target image simulation was proposed based on nonlinear mapping model. First, the irradiance and imaging gray value were got by theoretical calculation and actual shooting. By taking advantages of the data the various alternative mapping models so as to get the best mapping model were evaluated. Then, the mapping model was applied to the simulation process of actual target image and the target simulation image was got which reflected the real brightness variations. Finally, considering the effect of atmospheric transmission and so on, the target simulation image was combined with real background image to get final infrared dim-small simulation image. By comparison with the traditional simulation method, this proposed simulation method has more sense of reality.
  • [1] Zhou Xiaodong, Guo Ming. Generation of space target's dynamic IR images[J]. Infrared and Laser Engineering, 2007, 36(1): 5-9. (in Chinese)周晓东, 郭明. 空间目标动态红外图像的计算机生成[J]. 红外与激光工程, 2007, 36(1): 5-9.
    [2]
    [3]
    [4] Balfour L S, Bushlin Y. Semi-empirical model-based approach for IR scene simulation[C]//SPIE, 1997, 3061: 616-623.
    [5]
    [6] Da Bangyou, Sang Nong, Zhang Tianxu. LWIR image simulation method using Vega software[J]. Infrared and Laser Engineering, 2007, 36(3): 333-337. (in Chinese)笪邦友, 桑农, 张天序. 一种利用 Vega 软件的长波红外图像仿真方法[J]. 红外与激光工程, 2007, 36(3): 333-337.
    [7]
    [8] Gao Chenqiang, Zhang Tianqi, Li Qiang. Small infrared target detection using sparse ring representation[J]. IEEE Aerospace Electronics Systems Magazine, 2012, 27(3): 21-30.
    [9] Kim S. Min-local-LoG filter for detecting small targets in cluttered background[J]. Electronics Letters, 2011, 47(2): 105-106.
    [10]
    [11] Gao Chenqiang, Zhang Tianqi, Li Qiang, et al. Performance evaluation of several typical infrared weak and small target detection algorithms[J]. Journal of Chongqing University of Posts and Telecommunications: Natural Science Edition, 2009, 22(3): 386-391. (in Chinese)高陈强, 张天骐, 李强, 等. 几种典型红外弱小目标检测算法的性能评估[J]. 重庆邮电大学学报: 自然科学版, 2009, 22(3): 386-391.
    [12]
    [13]
    [14] Chen Qinghua, Xie Xiaofang, Li Zongsheng, et al. Research on infrared scene simulation of ship targets[J]. Infrared and Laser Engineering, 2008, 37(9): 413-416.陈青华, 谢晓方, 李宗升, 等. 舰船目标红外视景仿真研究[J]. 红外与激光工程, 2008, 37(9): 413-416. (in Chinese)
    [15]
    [16] Wu Yaping, Zhang Tianxu. Simulation of infrared image and the simulation software[J]. Infrared and Laser Engineering, 2000, 29(4): 1-3. (in Chinese)吴亚平, 张天序. 红外图像的计算机仿真及仿真软件[J]. 红外与激光工程, 2000, 29(4): 1-3.
    [17] Shen Tongsheng, Yan Heping, Zhou Xiaodong. The simulation of dynamic IR imagery in the sea fighting environment[J]. Infrared and Laser Engineering, 1998, 27(4): 9-3. (in Chinese)
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Infrared dim-small target image simulation based on nonlinear mapping model

  • 1. Chongqing Key Laboratory of Signal and Information Processing,Chongqing University of Posts and Telecommunications,Chongqing 400065,China

Abstract: As the study and evaluation of the long distance infrared dim-small target detection algorithm requires a large amount of test images, a method of the IR dim-small target image simulation was proposed based on nonlinear mapping model. First, the irradiance and imaging gray value were got by theoretical calculation and actual shooting. By taking advantages of the data the various alternative mapping models so as to get the best mapping model were evaluated. Then, the mapping model was applied to the simulation process of actual target image and the target simulation image was got which reflected the real brightness variations. Finally, considering the effect of atmospheric transmission and so on, the target simulation image was combined with real background image to get final infrared dim-small simulation image. By comparison with the traditional simulation method, this proposed simulation method has more sense of reality.

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