自动目标识别的工程视角述评

郁文贤

郁文贤. 自动目标识别的工程视角述评[J]. 雷达学报, 2022, 11(5): 737–752. doi: 10.12000/JR22178
引用本文: 郁文贤. 自动目标识别的工程视角述评[J]. 雷达学报, 2022, 11(5): 737–752. doi: 10.12000/JR22178
YU Wenxian. Automatic target recognition from an engineering perspective[J]. Journal of Radars, 2022, 11(5): 737–752. doi: 10.12000/JR22178
Citation: YU Wenxian. Automatic target recognition from an engineering perspective[J]. Journal of Radars, 2022, 11(5): 737–752. doi: 10.12000/JR22178

自动目标识别的工程视角述评

doi: 10.12000/JR22178
基金项目: 国家自然科学基金重点项目(61331015)
详细信息
    作者简介:

    郁文贤,博士,讲席教授,教育部长江学者特聘教授,主要研究方向为自动目标识别、智能信息处理、融合导航定位等

    通讯作者:

    郁文贤 wxyu@sjtu.edu.cn

  • 责任主编:杜兰 Corresponding Editor: DU Lan
  • 中图分类号: TN957

Automatic Target Recognition from an Engineering Perspective

Funds: State Key Program of the National Natural Science Foundation of China (61331015)
More Information
  • 摘要: 自动目标识别(ATR)是一个和信号与信息处理、模式识别、人工智能等学科密切相关的特殊工程技术应用领域。由于ATR系统识别对象固有的不确定性,识别环境的复杂性,以及日益加剧的识别对抗性,使得ATR的发展一直面临着从理论到技术、到应用的系统性挑战。该文从工程视角出发,阐述了ATR的定义与内涵,简要回顾与分析了该领域发展动态,梳理了ATR的核心技术体系与系统开发模式,最后对未来的发展挑战做了分析。

     

  • 图  1  ATR的认知视角

    Figure  1.  Perspectives of ATR

    图  2  ATR在OODA中的功能描述(检测、跟踪、定位、识别、预测)

    Figure  2.  Functions of ATR in OODA (detection, tracking, locating, recognition, and prediction)

    图  3  ATR中任务与资源优化调度

    Figure  3.  Optimal task and resource scheduling in ATR

    图  4  多源融合层次化结构

    Figure  4.  Hierarchical structure of multi-source fusion

    图  5  ATR在线学习自演进架构[8]

    Figure  5.  ATR online learning and self-evolving architecture[8]

    图  6  MSTAR部分数据样本

    Figure  6.  Data samples of MSTAR

    图  7  OpenSARShip部分数据样本

    Figure  7.  Data samples of OpenSARShip

    图  8  ATR数据信息能力的核心技术构成示意图

    Figure  8.  Illustration of the core technologies of ATR competence regarding data information

    图  9  ATR信息认知能力的核心技术构成示意图

    Figure  9.  Illustration of the core technologies of ATR competence regarding information recognition

    图  10  ATR Core的核心技术构成示意图

    Figure  10.  Illustration of the key technologies of ATR Core

    图  11  ATR应用从封闭走向开放

    Figure  11.  ATR application: from close form to open form

    图  12  迭代演进开发模式演进流程

    Figure  12.  Process of iteratively-evolving development patterns

    图  13  雷达目标识别系统的迭代增长式工程开发模式

    Figure  13.  An iteratively incremental engineer development model for a radar target recognition system

    图  14  百度Apollo 6.0开放生态环境示意图

    Figure  14.  Illustration of Baidu Apollo 6.0 open ecological environment

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  • 收稿日期:  2022-08-02
  • 修回日期:  2022-10-12
  • 网络出版日期:  2022-10-19
  • 刊出日期:  2022-10-28

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