基于自注意力包络追踪的降质靶标中心高精度检测  

High Precision Detection of Degraded Target Center Based on Self-Attention Envelope Tracking

作　　者：梁美慧 景文博[1] 熊泽宇 冯萱 孟家合 姚凯 赵东杰 赵海丽[2] Liang Meihui;Jing Wenbo;Xiong Zeyu;Feng Xuan;Meng Jiahe;Yao Kai;Zhao Dongjie;Zhao Haili(College of Optoelectronic Engineering,Changchun University of Science and Technology,Changchun 130022,Jilin,China;College of Electronical and Information Engineering,Changchun University of Science and Technology,Changchun 130022,Jilin,China)

机构地区：[1]长春理工大学光电工程学院,吉林长春130022 [2]长春理工大学电子信息工程学院,吉林长春130022

出　　处：《光学学报》2025年第1期88-98,共11页Acta Optica Sinica

基　　金：高等学校学科创新引智计划(111计划)(D21009);2024吉林省教育厅科学技术研究项目(JJKH20240922KJ)。

摘　　要：立靶成像测试是装甲车辆动态性能考核的重要环节,其中心定位的精度对武器装备试验及定型至关重要。针对靶标图像十字特征非对称、对比度低、特征信息缺失等降质问题,提出一种基于自注意力包络追踪的降质靶标中心高精度检测方法:利用靶标十字特征的正交对称性,提出多方向注意力融合算法;通过希尔伯特变换构造解析信号并提取包络,在频域消除共轭反对称部分实现包络追踪,以突出十字中心特征。试验结果表明:该方法在十字特征非对称的情况下,中心定位均方根误差(RMSE)精度为0.06 pixel;对比度为3.17时,精度为0.01 pixel;遮挡程度为24.87%的情况下,精度为0.15 pixel;检测速度达到270 frame/s,能够对装备动态性能考核中立靶成像测试提供有力的支持。Objective The vertical target imaging test is an important part of the dynamic performance assessment of armored vehicles,and the accuracy of its center positioning is crucial to the testing and finalization of weapons and equipment.In the standing target imaging test of armored vehicles,range testers often face a series of complex and thorny problems:1)Environmental factors such as lighting conditions and weather conditions have a significant influence on the cross symmetry of the target;2)The target image has low contrast.3)The target cross feature is affected by the built-in markings,occlusions,and target damage of the imaging system,resulting in the loss of key feature information.The difficulty of fully controlling these factors reduces the accuracy of target center positioning in weapon effectiveness evaluation.This problem has long troubled range testers.Although the military target detection method based on deep learning can highlight the characteristics of military targets to some extent,the contradiction between high-precision fitting and generalization makes it not the optimal solution to solve the precise positioning problem.Most of the existing traditional methods only focus on the detection of the general area where the target is located,and there are no reports on the precise positioning of the center of degraded targets with asymmetric cross features,low contrast,and missing feature information.To solve this pain point,there is an urgent need to study a central positioning method for degradation targets.Methods We propose a high-precision detection method for degraded target centers based on self-attention envelope tracking.The method consists of two stages.In the coarse positioning stage,the target area is detected through the YOLO series network.In the fine positioning stage,first,the image enhancement algorithm SINE based on the sine function is designed to widen the grayscale spacing of the image and enhance the outline of the target center area information.Second,using the orthogonal symmetry

关 键 词：测量 降质靶标 自注意力机制 中心检测 

分 类 号：TJ811[兵器科学与技术—武器系统与运用工程]