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论文:2021,Vol:39,Issue(5):1022-1028 |
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引用本文： |
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谢松云, 刘祥惠, 吴晓亮, 高川林, 沈冬睿. 基于图像和航迹信息的目标完整性评估方法[J]. 西北工业大学学报 |
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XIE Songyun, LIU Xianghui, WU Xiaoliang, GAO Chuanlin, SHEN Dongrui. Target integrity assessment based on image and track information[J]. Northwestern polytechnical university |
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| 基于图像和航迹信息的目标完整性评估方法 |
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| 谢松云, 刘祥惠, 吴晓亮, 高川林, 沈冬睿 |
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| 西北工业大学 电子信息学院, 陕西 西安 710072 |
| 摘要: |
| 快速而准确地对任务目标进行完整性评估，是执行者后续决策的重要情报保障和参考依据。针对当前目标完整性评估研究中多采用单一数据源或者复杂概率模型导致无法兼顾准确率和实时性两种需求的问题，提出了基于图像和航迹信息2种数据源的目标完整性评估新方法。通过目标任务执行前后图像纹理、角点以及航迹参数等特征的变化，将完整性评估问题转化为分类问题，并结合多种分类结果进行综合评估。实验结果证明基于图像和航迹信息2种数据源评估结果的准确率达到了97.5%，高于单一数据源评估结果，且评估用时控制在毫秒级，在提高准确率的同时保证了评估的实时性。 |
| 关键词:
目标完整性评估
KNN
纹理特征
图像分类
航迹信息
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| Target integrity assessment based on image and track information |
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| XIE Songyun, LIU Xianghui, WU Xiaoliang, GAO Chuanlin, SHEN Dongrui |
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| School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China |
| Abstract: |
| The rapid and accurate integrity assessment of targets can provide important guarantee and reference for the subsequent decision of the implementer. The current research on target integrity assessment mainly adopts single data source or complex probability model, which leads to inability to balance the needs of accuracy and real-time. In order to solve this problem, a new target integrity assessment method based on image and track information is proposed in this paper. Image texture, corner points and track parameters before and after the execution of the target are used to transform the integrity assessment issue into a classification issue,and a comprehensive assessment result is made by combining various classification results. The experimental results show that the assessment results based on both image and track information reached 97.5%, higher than the evaluation results from a single data source, and the evaluation time was controlled in milliseconds, which not only improved the accuracy rate but also ensured the real-time assessment. |
| Key words:
targets integrity assessment
KNN
texture feature
image classification
track information
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| 收稿日期: 2021-06-25
修回日期:
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| DOI: 10.1051/jnwpu/20213951022 |
| 基金项目: 陕西省国际科技合作计划重点项目（2021KWZ-02）和陕西省重点研发计划项目（2020ZDLGY04-01）资助 |
| 通讯作者: 刘祥惠(1992-),女,西北工业大学博士研究生,主要从事图像处理、脑机融合研究。e-mail:xianghuiliu@mail.nwpu.edu.cn
Email：xianghuiliu@mail.nwpu.edu.cn |
| 作者简介: 谢松云(1968-),女,西北工业大学教授,主要从事图像处理、脑-机接口与人机混合智能研究。
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