A modified topological derivative based background suppression for infrared dim small target detection | |
Cheng, Wenxiong1; Qin, Hanlin1; Wang, Wanting1; Wang, Chunmei1; Leng, Hanbing2; Zhou, Huixin1; Qin, Hanlin (hlqin@mail.xidian.edu.cn) | |
2017 | |
会议名称 | Applied Optics and Photonics China: Optical Sensing and Imaging Technology and Applications, AOPC 2017 |
会议录名称 | AOPC 2017: Optical Sensing and Imaging Technology and Applications |
卷号 | 10462 |
会议日期 | 2017-06-04 |
会议地点 | Beijing, China |
出版者 | SPIE |
产权排序 | 2 |
摘要 | In the processing of infrared small target image which has low signal-To-noise ratio and complex background, the target detection and recognition are very hard. So, how to suppress infrared complex background in low signal-To-clutter addition becomes the key problem in the detection of infrared small target image. The topological derivative can quantify the sensitivity of a problem when the domain under consideration is perturbed by changing its topology. Considering the idea of topology optimization, a modified topological derivative based background suppression method for infrared dim small target detection was proposed. An appropriate functional and variational problem is related to the cost function. Thus, the corresponding topological derivative can be used as an indicator function leads to the processed image through a minimization process. Firstly, introduce perturbations to each pixel of the infrared image. Secondly, calculate the corresponding topological derivative. These pixels also have the least cost function. Finally, using the modified optimal diffusion coefficient to diffuse the pixels where the topological derivative is negative to make its background smooth and achieve the purpose of removing the background clutter while enhancing the small target. Compared with other several experiment results of existing background suppressing methods in indexes, the method the paper proposed has innovative ideas and gets well effects of background suppressing and are practical methods. All of above have the important research value for the related work in future. © 2017 SPIE. |
作者部门 | 光谱成像技术实验室 |
DOI | 10.1117/12.2285726 |
收录类别 | EI ; ISTP |
ISBN号 | 9781510614055 |
语种 | 英语 |
ISSN号 | 0277786X |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/29904 |
专题 | 光谱成像技术研究室 |
通讯作者 | Qin, Hanlin (hlqin@mail.xidian.edu.cn) |
作者单位 | 1.School of Physics and Optoelectronic Engineering, Xidian University, Xi'an, 710071, China 2.Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, 710119, China |
推荐引用方式 GB/T 7714 | Cheng, Wenxiong,Qin, Hanlin,Wang, Wanting,et al. A modified topological derivative based background suppression for infrared dim small target detection[C]:SPIE,2017. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
A modified topologic(526KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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