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基于改进LCM的红外小目标检测算法
Alternative TitleInfrared dim target detection algorithm based on improved LCM
张祥越; 丁庆海; 罗海波; 惠斌; 常铮; 张俊超
Department光电信息技术研究室
Source Publication红外与激光工程
ISSN1007-2276
2017
Volume46Issue:7Pages:270-276
Indexed ByEI ; CSCD
EI Accession number20173704147522
CSCD IDCSCD:6039071
Contribution Rank1
Keyword小目标检测 红外图像 检测算法 局部对比度
Abstract如何在复杂背景和低信杂比条件下准确检测到小目标对于精确制导武器的发展和红外预警等具有重要意义。为了在复杂背景条件下提高图像信杂比并有效地检测出小目标,提出一种基于中心域与邻域灰度对比度的红外小目标检测方法。通过计算输入图像的对比度图和显著度图,提高了目标对比度同时抑制背景杂波;在此基础上自适应设定阈值分离出小目标。实验结果表明:与传统LCM(Local Contrast Measure)方法相比,所提出的方法能够取得更高的检测率和较低的虚警率,尤其是对于复杂背景下的弱小目标检测,相对于对比算法,优势更明显。
Other AbstractHow to detect infrared dim targets accurately under complex background and low SCR condition is of great significance for the development of precision guided weapons and infrared warning. In order to improve the SCR and detect the dim targets effectively, a new method for infrared dim target detection based on the gray contrast between the central region and its neighborhood was proposed. The contrast of the target was improved by calculating the contrast map and saliency map of the input image while suppressing the background clutter. The adaptive threshold was set on this basis to separate the dim targets. Experimental results show that the proposed method can achieve higher detection rate and lower false alarm rate compared with conventional LCM (Local Contrast Measure) method. The proposed method has an outperformance compared with other algorithms, especially in the case of complex background.
Language中文
Citation statistics
Cited Times:4[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/20992
Collection光电信息技术研究室
Corresponding Author张祥越
Affiliation1.中国科学院沈阳自动化研究所
2.中国科学院光电信息处理实验室
3.中国科学院大学
4.航天恒星科技有限公司
Recommended Citation
GB/T 7714
张祥越,丁庆海,罗海波,等. 基于改进LCM的红外小目标检测算法[J]. 红外与激光工程,2017,46(7):270-276.
APA 张祥越,丁庆海,罗海波,惠斌,常铮,&张俊超.(2017).基于改进LCM的红外小目标检测算法.红外与激光工程,46(7),270-276.
MLA 张祥越,et al."基于改进LCM的红外小目标检测算法".红外与激光工程 46.7(2017):270-276.
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