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Alternative TitleDim air target detection based on radiation accumulation and space Inversion
马天磊; 史泽林; 尹健; 徐保树; 刘云鹏
Source Publication红外与激光工程
Indexed ByEI ; CSCD
EI Accession number20160101761212
Contribution Rank1
Funding Organization中国科学院光电信息处理重点实验室基金(Y0A4106401) ; 中国科学院国防创新重点基金(Y4A4080401)
Keyword红外图像序列 弱目标检测 辐射能量累积 恒虚警判决

Other AbstractBackground radiation noise interference is a difficult technica1 problem for dim signal detection. dim target detection algorithm was proposed which can significant1y improve signal-to-noise ratio (SNR) to achieve uniformly motion dim target detection successfully. Firstly, a coordinate space and a velocity space were established. Then the original image sequence was stacked a10ng different velocity vectors to acquire a new image sequence with SNR improved and the new image sequence forms an image space. Secondly, quasi-target points in the image space were detected by constant false-alarm ratio (CFAR) judging. Finally, velocity vectors and coordinate vectors of quasi-target points were mapped to the velocity space and the coordinate space respectively. As a result, two local peaks from the spaces will confirm true target points. Experiments of real images from actual IR imaging system show that proposed algorithm can improve SNR approximately up to times of original image SNR, and the proposed algorithm is demonstrably superior to compared algorithms on detection probability and false alarm probability.

Citation statistics
Document Type期刊论文
Corresponding Author马天磊
Recommended Citation
GB/T 7714
马天磊,史泽林,尹健,等. 基于辐射累积和空间反演的空中弱目标检测算法[J]. 红外与激光工程,2015,44(11):3500-3506.
APA 马天磊,史泽林,尹健,徐保树,&刘云鹏.(2015).基于辐射累积和空间反演的空中弱目标检测算法.红外与激光工程,44(11),3500-3506.
MLA 马天磊,et al."基于辐射累积和空间反演的空中弱目标检测算法".红外与激光工程 44.11(2015):3500-3506.
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