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基于直线组仿射不变特征的自动目标识别算法
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
Department光电信息技术研究室
Source Publication红外与激光工程
ISSN1007-2276
2019
Volume48Issue:S2Pages:148-154
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
Abstract

为了提高基于异源模板匹配的自动目标识别方法的精度和准确率,提出了一种采用直线组几何基元的图像匹配算法,该算法利用直线组表示目标,利用直线组中各条直线构成的三角形面积之比作为描述直线组的特征量,在所有候选直线组中找到与目标匹配的最佳直线组,并确定组内直线的一一对应关系,求出模板图与实时图中的同名点,最后利用同名点检测出实时图中目标的位置;此外,还提出了一种在实时图中进行直线提纯的方法。该方法可以提出实时图中的主要直线,为文中所提算法的精确性提供了保障。实验结果表明:文中提出方法具有较高的匹配精度和准确率。

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.

Language中文
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/25670
Collection光电信息技术研究室
Corresponding Author罗海波
Affiliation1.中国科学院沈阳自动化研究所
2.中国科学院大学
3.中国科学院光电信息处理实验室
4.中车唐山机车车辆有限公司
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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