Infrared Small Target Detection Based on Flux Density and Direction Diversity in Gradient Vector Field
文献类型：期刊论文
| 作者 | Liu, Depeng1,2; Cao, Lei3; Li, Zhengzhou1,2,3; Liu, Tianmei1,2; Che, Peng1,2 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2018-07-01 |
| 卷号 | 11期号:7页码:2528-2554 |
| 关键词 | Flux density gradient direction diversity (GDD) gradient vector field infrared image small target detection |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2018.2828317 |
| 文献子类 | J |
| 英文摘要 | The 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. |
| 语种 | 英语 |
| WOS记录号 | WOS:000440035600031 |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/9382]  |
| 专题 | 光电技术研究所_光电工程总体研究室（一室） |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：光电技术研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。