Volume 45 Issue 11
Dec.  2016
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Liu Feng, Xi Xiaoliang, Shen Tongsheng. Space small targets detection based on maximum projection and quick registration[J]. Infrared and Laser Engineering, 2016, 45(11): 1104002-1104002(6). doi: 10.3788/IRLA201645.1104002
Citation: Liu Feng, Xi Xiaoliang, Shen Tongsheng. Space small targets detection based on maximum projection and quick registration[J]. Infrared and Laser Engineering, 2016, 45(11): 1104002-1104002(6). doi: 10.3788/IRLA201645.1104002

Space small targets detection based on maximum projection and quick registration

doi: 10.3788/IRLA201645.1104002
  • Received Date: 2016-03-11
  • Rev Recd Date: 2016-04-20
  • Publish Date: 2016-11-25
  • It is an important research content for analysis of space security to detect the small targets with spac-based observation platform. But it's difficult to develop a fast, robust and automatically processing algorithm for some reasons:there are too many stars which have similar appearance with targets in space image and the observation platform moves irregularly. Based on analyzing star image model, a method of space target detection was proposed by triangle matching and maximum projection. First step is the sequence images registration with feature triangle and for reducing computation, the star centroid coordinate matrix was calculated. Then the maximum projection transformation for image sequences was used for detecting the moving small targets. Finally, simulation and test demonstrate the method can achieve real time and accurate targets detection with 200 sequence images.
  • [1] Yang Shuqiang, Cui Qi, Li Biao. Spacial small target detection based on optical temporal profile characteriscs[J]. Electronics Optics Control, 2010, 17(6):36-39. (in Chinese)
    [2] Pan Jingchang. Research on automated processing and target detection of astronomical information[D]. Jinan:Shandong University, 2011. (in Chinese)
    [3] Chu P L. Efficient detection of small moving objects[R]. 1989:3-44.
    [4] Chen Binwen, Wang Wenwei, Qin Qianqing. Infrared dim target detection based on Fuzzy-ART neural network[J]. Systems Engineering and Electronics, 2012, 34(5):857-863. (in Chinese)
    [5] Han Yanli, Liu Feng. Small targets detection algorithm based on triangle match space[J]. Infrared and Laser Engineering, 2014, 43(9):3134-3140. (in Chinese)
    [6] Zhao Jiaji, Tang Zhengyuan, Yang Jie, et al. Infrared small target detection based on image sparse representation[J]. Journal of Infrared Milimeter Waves, 2011, 30(2):18-156.
    [7] Li Zhenwei, Zhang Tao, Sun Mingguo. Fast recognition and precise orientation of space objects in star background[J]. Optics and Precision Engineering, 2015, 23(2):589-599. (in Chinese)
    [8] Qi Changsong, Liu Enhai, Zhong Jianyong. Discussion on space-based deep space small moving target detecion[J]. Opto-Electronic Engineering, 2008, 35(5):28-32. (in Chinese)
    [9] Yu Qiang, Huang Shucai, Zhao Wei, et al. A fusion detection algorithm of small infrared target based on spatical-temporal accumulative difference[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2014, 34(6):181-184. (in Chinese)
    [10] Jiang Lei, Zhang Yanning, Sun Jinqiu. Trajectory detection by non-uniform quantitative Hough Transform in segmented blocks[J]. Chinese Journal of Stereology and Mage Analysis, 2009, 14(1):60-66. (in Chinese)
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Space small targets detection based on maximum projection and quick registration

doi: 10.3788/IRLA201645.1104002
  • 1. Department of Control Engineering,Naval Aeronautical and Astronautical University,Yantai 264001,China;
  • 2. National Defense Science and Technology Information Center,Beijing 100142,China

Abstract: It is an important research content for analysis of space security to detect the small targets with spac-based observation platform. But it's difficult to develop a fast, robust and automatically processing algorithm for some reasons:there are too many stars which have similar appearance with targets in space image and the observation platform moves irregularly. Based on analyzing star image model, a method of space target detection was proposed by triangle matching and maximum projection. First step is the sequence images registration with feature triangle and for reducing computation, the star centroid coordinate matrix was calculated. Then the maximum projection transformation for image sequences was used for detecting the moving small targets. Finally, simulation and test demonstrate the method can achieve real time and accurate targets detection with 200 sequence images.

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