Spatial-temporal fused filtering for infrared clutter suppression based on restricted sequential M-estimation

Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica

Volumn 32, Issue 8, 2011, Pages 1531-1541

  Long, Yunli ^a,b   Xu, Hui ^a   An, Wei ^a   Lin, Liangkui ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^b Unit 75122   (China)

Author keywords

Image registration; Infrared clutter suppression; Sequential M estimation; Spatial temporal fusion; Target detection

Indexed keywords

ALGORITHMS; CLUTTER (INFORMATION THEORY); ESTIMATION; IMAGE REGISTRATION; MATHEMATICAL MODELS; OBJECT RECOGNITION; TARGET TRACKING;

BILINEAR INTERPOLATION; CLUTTER BACKGROUND; CLUTTER SUPPRESSION; CONTROL FACTORS; DIM TARGET; DOUBLE THRESHOLD; FUSED FILTERING ALGORITHM; IMAGE INTENSITIES; M-ESTIMATION; MODEL PARAMETERS; PREDICTION MODEL; SEQUENTIAL IMAGES; SPATIAL TEMPORALS;

PARAMETER ESTIMATION;

EID: 80052821603     PISSN: 10006893     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. Tartakovsky A G, Brown J. Adaptive spatial-temporal filtering methods for clutter removal and target tracking[J]. IEEE Transactions on Aerospace and Electronic System, 2008, 44(4): 1522-1537.
2. Wang J, Bao S Q, Ralph J F, et al. Detection of small objects in multi-layered infrared images[C]//Signal and Data Processing of Small Targets, Proceedings of the SPIE. 2008, 6969: 696905-1-696905-8.
3. Wemett B D. Automatic target detection using vector quantization error[C]//Automatic Target Recognition XVIII, Proceedings of the SPIE. 2008, 6967: 696712-1-696712-10.
4. Yang Weiping, Shen Zhenkang. The detection method of adaptive threshold in undulant background[J]. Journal of Infrared Millimeter Waves, 1999, 18(2): 120-124. (in Chinese)
5. Li Hongyan, Wu Chengke. Detecting dim small targets in image sequences based on wavelet transform and genetic algorithm[J]. Electronica Sinica, 2001, 29(4): 439-442. (in Chinese)
6. Pan Ming, Pei Yuntian, Wu Guichen. Detection for moving infrared point target in high altitude with strong clutter background[J]. Chinese Journal of Radio Science, 2004, 19(6): 757-766. (in Chinese)
7. Zong Siguang, Wang Jiang'an. Infrared image targets detection based on multi-scale mathematical morphology fusion[J]. Journal of Optoelectronics Laser, 2004, 15(2): 208-211. (in Chinese)
8. Yu Nong, Wu Changyong, Tang Xinyi, et al. Adaptive background perception algorithm for infrared target detection[J]. Acta Electronica Sinica, 2005, 33(2): 200-204. (in Chinese)
9. Hu Moufa, Chen Zengping. New small target detection algorithm via Zernike-facet model and the total least squares[J]. Journal of Electronics & Information Technology, 2008, 30(1): 194-197. (in Chinese)
10. Hu Moufa, Shen Yan, Chen Zengping. New adaptive recursive M-estimation algorithm and its performance analysis[J]. Acta Electronica Sinica, 2007, 35(9): 1651-1655. (in Chinese)
11. Liu Jin, Ji Hongbing. IR small targets detection based on non-homogenous background[J]. Journal of Electronics & Information Technology, 2010, 32(6): 1295-1300. (in Chinese)
12. Askar Hamdulla, Dilmurat Tursun. Spatial-temporal non-parametic regression based approach for moving clutter suppression[J]. Journal of Communication, 2007, 28(3): 63-67. (in Chinese)
13. Haykin S. Adaptive filter theory[M]. 4th ed. New Jersey: Prentice Hall, 2001.
14. Luo Junhui, Ji Hongbing, Liu Jin. Algorithm of IR small targets detection based on spatial filter and its application[J]. Journal of Infrared and Millimeter Wave, 2007, 26(3): 209-212. (in Chinese)
15. Manuel S G, Samuel T T, James F R. Efficient sub-pixel image registration algorithms[J]. Optics Letters, 2008, 33(2): 156-158.