Space small targets detection based on maximum projection and quick registration

被引：0

作者：

Liu F. ^{[1
]}

Xi X. ^{[1
]}

Shen T. ^{[2
]}

机构：

[1] Department of Control Engineering, Naval Aeronautical and Astronautical University, Yantai

[2] National Defense Science and Technology Information Center, Beijing

来源：

Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering | 2016年 / 45卷 / 11期

关键词：

Maximum projection; Space-based observation; Target detection; Triangle matching;

D O I：

10.3788/IRLA201645.1104002

中图分类号：

学科分类号：

摘要：

It is an important research content for analysis of space security to detect the small targets with space-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. © 2016, Editorial Board of Journal of Infrared and Laser Engineering. All right reserved.

引用

页数：6

共 10 条

[1]

Yang S., Cui Q., Li B., Spacial small target detection based on optical temporal profile characteriscs, Electronics Optics & Control, 17, 6, pp. 36-39, (2010)

[2]

Pan J., Research on automated processing and target detection of astronomical information, (2011)

[3]

Chu P.L., Efficient detection of small moving objects, pp. 3-44, (1989)

[4]

Chen B., Wang W., Qin Q., Infrared dim target detection based on Fuzzy-ART neural network, Systems Engineering and Electronics, 34, 5, pp. 857-863, (2012)

[5]

Han Y., Liu F., Small targets detection algorithm based on triangle match space, Infrared and Laser Engineering, 43, 9, pp. 3134-3140, (2014)

[6]

Zhao J., Tang Z., Yang J., Et al., Infrared small target detection based on image sparse representation, Journal of Infrared & Milimeter Waves, 30, 2, pp. 18-156, (2011)

[7]

Li Z., Zhang T., Sun M., Fast recognition and precise orientation of space objects in star background, Optics and Precision Engineering, 23, 2, pp. 589-599, (2015)

[8]

Qi C., Liu E., Zhong J., Discussion on space-based deep space small moving target detection, Opto-Electronic Engineering, 35, 5, pp. 28-32, (2008)

[9]

Yu Q., Huang S., Zhao W., Et al., A fusion detection algorithm of small infrared target based on spatical-temporal accumulative difference, Journal of Projectiles, Rockets, Missiles and Guidance, 34, 6, pp. 181-184, (2014)

[10]

Jiang L., Zhang Y., Sun J., Trajectory detection by non-uniform quantitative Hough Transform in segmented blocks, Chinese Journal of Stereology and Mage Analysis, 14, 1, pp. 60-66, (2009)

← 1 →