OPT OpenIR  > 飞行器光学成像与测量技术研究室
Small Infrared Target Detection Based on Fast Adaptive Masking and Scaling With Iterative Segmentation
Chen, Yaohong1; Zhang, Gaopeng2; Ma, Yingjun2; Kang, Jin U.3; Kwan, Chiman4
Department飞行器光学成像与测量技术研究室
2021
Source PublicationIEEE Geoscience and Remote Sensing Letters
ISSN1545598X;15580571
Contribution Rank1
AbstractFast and robust small infrared (IR) target detection is a challenging task and critical to the performance of IR searching and tracking (IRST) systems. However, the current algorithms generally have difficulty in striking a good balance between speed and performance. In this letter, we propose a new approach to small IR target detection that can significantly accelerate the detection process by first performing a fast adaptive masking and scaling algorithm. We then propose to enhance the target characteristics and suppress the background clutter using both contrast and gradient information. Finally, we propose to accurately extract the targets via iterative segmentation. The experimental results demonstrated that our proposed method yields the best and the most robust performance, with a speed of at least two times faster than the state-of-the-art methods. IEEE
KeywordAdaptive masking and scaling iterative segmentation real-time target detection small infrared (IR) target detection
DOI10.1109/LGRS.2020.3047524
Indexed ByEI
Language英语
PublisherInstitute of Electrical and Electronics Engineers Inc.
EI Accession Number20210409830531
Citation statistics
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/94275
Collection飞行器光学成像与测量技术研究室
Affiliation1.Xian Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China, also with the University of Chinese Academy of Sciences, Beijing 100049, China, and also with the Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218 USA.;
2.Xian Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China.;
3.Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218 USA (e-mail: jkang@jhu.edu);
4.Signal Processing, Inc., Rockville, MD 20850 USA (e-mail: chiman.kwan@signalpro.net)
Recommended Citation
GB/T 7714
Chen, Yaohong,Zhang, Gaopeng,Ma, Yingjun,et al. Small Infrared Target Detection Based on Fast Adaptive Masking and Scaling With Iterative Segmentation[J]. IEEE Geoscience and Remote Sensing Letters,2021.
APA Chen, Yaohong,Zhang, Gaopeng,Ma, Yingjun,Kang, Jin U.,&Kwan, Chiman.(2021).Small Infrared Target Detection Based on Fast Adaptive Masking and Scaling With Iterative Segmentation.IEEE Geoscience and Remote Sensing Letters.
MLA Chen, Yaohong,et al."Small Infrared Target Detection Based on Fast Adaptive Masking and Scaling With Iterative Segmentation".IEEE Geoscience and Remote Sensing Letters (2021).
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