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Alternative TitleAutomatic target recognition algorithm based on affine invariant feature of line grouping
焦安波1,3,4; 邵立云2; 李晨曦1,3,4; 马俊凯1,3,4; 王学娟1,3; 罗海波1,3
Source Publication红外与激光工程
Indexed ByEI
EI Accession number20194207544408
Contribution Rank1
Keyword红外成像制导 自动目标识别 异源图像 直线编组特征


Other Abstract

In order to improve the accuracy of the multi -sensor automatic target recognition algorithm, based on line group matching, an image matching algorithm using linear group geometric primitives was proposed. Line group was used to represent the target. Every three lines in line group can compose a triangle. An affine invariant, which consisted of the ratio of these triangles′ area, was considered as a distinct feature to describe the line group. The best matching line group was found among the candidate line groups in real -time infrared image. The corresponding points between target and real -time image can be obtained through the matching lines. Then the location of the target can be computed through affine transformation. Finally, the position of the target in the real-time map was detected by the same-named point; in addition, a method of linear purification in the real-time infrared image was proposed. The extracted primary lines provided a condition which ensured the effectiveness and efficiency of the proposed recognition algorithm. Experimental result shows that the proposed algorithm has a high matching accuracy in multi-sensor target recognition.

Document Type期刊论文
Corresponding Author罗海波
Recommended Citation
GB/T 7714
焦安波,邵立云,李晨曦,等. 基于直线组仿射不变特征的自动目标识别算法[J]. 红外与激光工程,2019,48(S2):148-154.
APA 焦安波,邵立云,李晨曦,马俊凯,王学娟,&罗海波.(2019).基于直线组仿射不变特征的自动目标识别算法.红外与激光工程,48(S2),148-154.
MLA 焦安波,et al."基于直线组仿射不变特征的自动目标识别算法".红外与激光工程 48.S2(2019):148-154.
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