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Department光电工程总体研究室(一室)
Infrared Small Target Detection Based on Flux Density and Direction Diversity in Gradient Vector Field
Liu, Depeng1,2; Cao, Lei3; Li, Zhengzhou1,2,3; Liu, Tianmei1,2; Che, Peng1,2
Source PublicationIEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
Volume11Issue:7Pages:2528-2554
2018-07-01
Language英语
ISSN1939-1404
DOI10.1109/JSTARS.2018.2828317
Indexed BySCI ; Ei
WOS IDWOS:000440035600031
EI Accession Number20182105217566
SubtypeJ
AbstractThe existing small target detection methods may suffer serious false alarm rate and low probability of detection in the situation of intricate background clutter. To cope with this problem, a novel small target detection method is proposed in this paper. Initially, the infrared image is transformed to the infrared gradient vector field (IGVF), where some new distinctive characters of the target and background clutter can be exploited. The small targets show as sink points, while the heavy clutter illustrates high direction coherence in IGVF. Then, the multiscale flux density (MFD) is proposed to quantify the extent of sink point character. In the MFD map, the small targets can be well enhanced and background clutters can be suppressed simultaneously. After that, by analyzing the coherence of heavy clutter shown in the IGVF, the gradient direction diversity (GDD) is presented. The residual noise caused by the heavy clutter in IGVF can be further suppressed by GDD. Finally, an adaptive threshold is adopted to separate the targets. Extensive experiments, including both real data and synthesized data, show that the proposed method outperforms other stateof-the-art methods, especially for infrared images with complex background clutter. Moreover, the experiments prove that the proposed method can work stably for different small target quantities, distances between adjacent targets, target shapes, and noise types with reasonable computational cost.
KeywordFlux density gradient direction diversity (GDD) gradient vector field infrared image small target detection
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Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/9382
Collection光电工程总体研究室(一室)
Affiliation1.College of Communication Engineering, Chongqing University, Chongqing; 400044, China;
2.Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education, Chongqing University, Chongqing; 400044, China;
3.Institute of Optics and Electronics, Chinese Academy of Sciences, Key Laboratory of Beam Control, Chinese Academy of Sciences, Chengdu; 610209, China
Recommended Citation
GB/T 7714
Liu, Depeng,Cao, Lei,Li, Zhengzhou,et al. Infrared Small Target Detection Based on Flux Density and Direction Diversity in Gradient Vector Field[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2018,11(7):2528-2554.
APA Liu, Depeng,Cao, Lei,Li, Zhengzhou,Liu, Tianmei,&Che, Peng.(2018).Infrared Small Target Detection Based on Flux Density and Direction Diversity in Gradient Vector Field.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,11(7),2528-2554.
MLA Liu, Depeng,et al."Infrared Small Target Detection Based on Flux Density and Direction Diversity in Gradient Vector Field".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 11.7(2018):2528-2554.
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