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    • In the military field, deep neural network multi-source remote sensing image target recognition systems are widely used, but their robustness against adversarial attacks is insufficient and there are security risks. Experts analyzed potential risks and verified that the robustness of the model against attacks is generally insufficient, providing reference for improving the robustness of the model.
    • Vol. 27, Issue 8, Pages: 1951-1963(2023)   

      Received:09 January 2021

      Published:07 August 2023

    • DOI: 10.11834/jrs.20210597     

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  • Sun H,Xu Y J,Chen J,Lei L,Ji K F and Kuang G Y. 2023. Adversarial robustness evaluation of multiple-source remote sensing image recognition based on deep neural networks. National Remote Sensing Bulletin, 27(8):1951-1963 DOI: 10.11834/jrs.20210597.
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相关作者

Hao SUN 国防科技大学 电子科学学院
YanJie XU 国防科技大学 电子科学学院
Jin CHEN 北京市遥感信息研究所
Lin LEI 国防科技大学 电子科学学院
KeFeng JI 国防科技大学 电子科学学院
GangYao KUANG 国防科技大学 电子科学学院

相关机构

College of Electronic Science, National University of Defense Technology
Beijing Institute of Remote Sensing Information
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