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作 者:张啸锟 李凌 王欣欣 李江 ZHANG Xiao-Kun;LI Ling;WANG Xin-Xin;LI Jiang(Army Engineering University of PLA College of Field Engineering,Nanjing Jiangsu210000,China;Unit 91112 of PLA,Ningbo Zhejiang315000,China;Air Force Logistics University,Xuzhou Jiangsu221000,China)
机构地区:[1]陆军工程大学野战工程学院,江苏南京210000 [2]91112部队,浙江宁波315000 [3]空军勤务学院,江苏徐州221000
出 处:《机电产品开发与创新》2023年第4期15-19,共5页Development & Innovation of Machinery & Electrical Products
基 金:军委科技委基础加强计划技术领域基金项目(2019-JCJQ-JJ-005)。
摘 要:针对传统的迷彩伪装效果评估主观性强、指标单一等问题,提出一种基于超效率数据包络分析(DEA)和灰色关联分析(GCA)的评估方法。构建了包含统计、颜色、纹理、形状、复杂度等综合图像特征的迷彩伪装评估指标体系以及高斯Manhattan距离图像相似度模型。建立了超效率DEA-GCA混合模型,将图像相似度作为DEA输出矩阵,超效率值作为灰色关联参考序列,并对2种迷彩在8种典型背景下的伪装效果进行实验验证。该方法能够有效量化评估迷彩在不同背景下的伪装效果,可对比评估不同迷彩的综合伪装适应性,同时可量化分析影响迷彩伪装效果的内在图像特征因素,对迷彩设计与实施具有积极意义。Aiming at the problems of traditional pattern painting camouflage effect evaluation,such as strong subjectivity and single index,this paper proposes an evaluation method based on super-efficiency data envelopment analysis(DEA)and grey correlation analysis(GCA.Construct a pattern painting camouflage evaluation index system including comprehensive image features of statistics,color,texture,shape,and complexity,and an image similarity model based on Gaussian Manhattan distance.The super-efficiency DEA-GCA hybrid model is established,the image similarity is used as the DEA output matrix,and the super-efficiency value is used as the grey correlation reference sequence.Then,the camouflage effects of 2 pattern paintings under 8 typical backgrounds are experimentally verified.It can be seen that this method can effectively quantify and evaluate the camouflage effect of pattern painting in different backgrounds,compare the comprehensive camouflage adaptability of different pattern painting,and quantitatively analyze the inherent image characteristic factors that affect the camouflage effect,which is of positive significance to the design and implementation of pattern painting.
关 键 词:迷彩 伪装评估 超效率DEA 灰色关联分析 Manhattan距离
分 类 号:TJ810[兵器科学与技术—武器系统与运用工程]
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