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ISTDet: An efficient end-to-end neural network for infrared small target detection
Ju MR(鞠默然)1,2,3,4,5; Luo JN(罗江宁)6; Liu GQ(刘广琦)1,2,3,4,5; Luo HB(罗海波)1,2,4,5
Department光电信息技术研究室
Source PublicationInfrared Physics and Technology
ISSN13504495
2021
Volume114Pages:1-8
Indexed ByEI
EI Accession number20210609877981
Contribution Rank1
KeywordConvolutional neural network Small target detection End-to-end Infrared image
Abstract

Infrared small target detection has made many breakthroughs in early warning, guidance and battlefield intelligence. However, infrared small target occupies less pixels and lacks color and texture features, which makes infrared small target detection a challenging subject. To achieve the infrared small target detection, an efficient end-to-end network ISTDet is proposed in this paper. ISTDet mainly consists of two modules, including image filtering module and infrared small target detection module. The image filtering module is proposed to obtain the confidence map, aiming to enhance the response of infrared small targets and suppress the response of background. The infrared small target detection module takes the infrared image activated by the confidence map as input, aiming to speculate the category and position of the infrared small targets. Multi-task loss function is used to train the ISTDet in an end-to-end way. Finally, we do comparative experiments on five infrared small target sequences to demonstrate the detection performance of ISTDet. The results show ISTDet has better performance for infrared small target detection compared with other detectors.

Language英语
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/28308
Collection光电信息技术研究室
Corresponding AuthorLuo HB(罗海波)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning
2.110016, China
3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
4.University of Chinese Academy of Sciences, Beijing 100049, China
5.Key Laboratory of Opt-Electronic Information Processing, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
6.The Key Laboratory of Image Understanding and Computer Vision, Shenyang, Liaoning 110016, China
7.McGill University, Montreal, QC H3A 0G4, Canada
Recommended Citation
GB/T 7714
Ju MR,Luo JN,Liu GQ,et al. ISTDet: An efficient end-to-end neural network for infrared small target detection[J]. Infrared Physics and Technology,2021,114:1-8.
APA Ju MR,Luo JN,Liu GQ,&Luo HB.(2021).ISTDet: An efficient end-to-end neural network for infrared small target detection.Infrared Physics and Technology,114,1-8.
MLA Ju MR,et al."ISTDet: An efficient end-to-end neural network for infrared small target detection".Infrared Physics and Technology 114(2021):1-8.
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