首页|Assessing target optical camouflage effects using brain functional networks:A feasibility study

Assessing target optical camouflage effects using brain functional networks:A feasibility study

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Brain functional networks model the brain's ability to exchange information across different regions,aiding in the understanding of the cognitive process of human visual attention during target searching,thereby contributing to the advancement of camouflage evaluation.In this study,images with various camouflage effects were presented to observers to generate electroencephalography(EEG)signals,which were then used to construct a brain functional network.The topological parameters of the network were subsequently extracted and input into a machine learning model for training.The results indicate that most of the classifiers achieved accuracy rates exceeding 70%.Specifically,the Logistic algorithm ach-ieved an accuracy of 81.67%.Therefore,it is possible to predict target camouflage effectiveness with high accuracy without the need to calculate discovery probability.The proposed method fully considers the aspects of human visual and cognitive processes,overcomes the subjectivity of human interpretation,and achieves stable and reliable accuracy.

Camouflage effect evaluationElectroencephalography(EEG)Brain functional networksMachine learning

Zhou Yu、Li Xue、Weidong Xu、Jun Liu、Qi Jia、Jianghua Hu、Jidong Wu

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National Key Laboratory of Lightning Protection and Electromagnetic Camouflage Army Engineering University,Nanjing 210007,Jiangsu,China

Unit 31608 of PLA,Xiamen 361000,Fujian,China

School of Biological Sciences & Medical Engineering,Southeast University,Nanjing 210096,Jiangsu,China

National Defense Science and Technology Key Laboratory FundEquipment Pre-Research Fund

61422062205JCKYS2022LD9

2024

防务技术
中国兵工学会

防务技术

CSTPCD
影响因子:0.358
ISSN:2214-9147
年,卷(期):2024.34(4)