CIOMP OpenIR  > 中科院长春光机所知识产出
A novel fast detection method of infrared LSS-Target in complex urban background
Wu, Y.; H. Sun and P. Liu
2017
AbstractLSS-Target (the Low altitude, Slow speed and Small Target) is likely to be a threat to the observation platform, thus infrared LSS-Target detection is an urgent task. LSS-Target is a challenging issue due to the low Signal-to-Noise Ratio (SNR) and sophisticated background. Motivated by the analysis of infrared imaging characteristics, this paper proposes a novel fusion method for IR LSS-Target detection with complex urban background, which is suitable for precise guidance and self defense. First, an adaptive threshold segmentation based on accumulative histogram and maximum likelihood estimation are utilized to eliminate the clutter and improve SNR of the initial image. Second, a template is set up to identify the seed points in the image. Third, a constrained four criteria region growth algorithm is performed to separate the entire regions. Finally, the confidence measure is constructed, which can eliminate false targets and the background edges. Experimental results show that the method in this paper can screen out the real LSS-Target in real time with high accuracy under sophisticated background. 2018 World Scientific Publishing Company
Indexed Byei
Language英语
WOS IDWOS:000428414700008
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Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ciomp.ac.cn/handle/181722/59325
Collection中科院长春光机所知识产出
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GB/T 7714
Wu, Y.,H. Sun and P. Liu. A novel fast detection method of infrared LSS-Target in complex urban background[J],2017.
APA Wu, Y.,&H. Sun and P. Liu.(2017).A novel fast detection method of infrared LSS-Target in complex urban background..
MLA Wu, Y.,et al."A novel fast detection method of infrared LSS-Target in complex urban background".(2017).
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