A novel fast detection method of infrared LSS-Target in complex urban background

	A novel fast detection method of infrared LSS-Target in complex urban background
	Wu, Y.; H. Sun and P. Liu
	2017
摘要	LSS-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
收录类别	ei
语种	英语
WOS记录号	WOS:000428414700008
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/59325
专题	中科院长春光机所知识产出
推荐引用方式 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).

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
A novel fast detecti（854KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载