A state perception method for infrared dim and small targets with deep learning

doi:10.3788/CO.2019-0120

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	A state perception method for infrared dim and small targets with deep learning
	L.-H. Huang,L.-H. Cao,N. Li and Y. Li
刊名	Chinese Optics
	2020
卷号	13 期号:3 页码:527-536
ISSN号	20951531
DOI	10.3788/CO.2019-0120
英文摘要	Aiming at the problems of low accuracy, high artificial interference and high data quality requirements of the current spatial infrared dim target state perception, a new deep learning-based discrimination algorithm is proposed. Firstly, the state change of weak spatial infrared dim target is analyzed and a special data set is established. Then, a convolutional neural network dedicated to target state perception is established and adjustments are made in its local annotations and adaptive threshold. Finally, simulation data is generated from the target's radiation intensity information that was collected in the laboratory and is used to train and test the algorithm. A target state perception evaluation indexing system is established to evaluate the experimental results. The experimental results show that the accuracy of this method is 98.27% when the continuous complete radiation intensity information is inputted. When the radiation intensity information of the segment is inputted, the accuracy of each state is greater than 90%. This algorithm makes up for the shortcomings of current methods, which are not sensitive to low false alarm rates and incomplete target information. It improves detection speed and accuracy and better satisfies the demand for spatial infrared weak target sensing tasks. 2020, China Science Publishing & Media LTD. All right reserved.
URL标识	查看原文
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/64906]
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	L.-H. Huang,L.-H. Cao,N. Li and Y. Li. A state perception method for infrared dim and small targets with deep learning[J]. Chinese Optics,2020,13(3):527-536.
APA	L.-H. Huang,L.-H. Cao,N. Li and Y. Li.(2020).A state perception method for infrared dim and small targets with deep learning.Chinese Optics,13(3),527-536.
MLA	L.-H. Huang,L.-H. Cao,N. Li and Y. Li."A state perception method for infrared dim and small targets with deep learning".Chinese Optics 13.3(2020):527-536.