| 引用本文: | 张翼,梁彦刚,陈磊,等.光学成像侦察卫星威胁评估方法.[J].国防科技大学学报,2012,34(5):32-35.[点击复制] |
| ZHANG Yi,LIANG Yangang,CHEN Lei,et al.The threat assessment method of optics imaging reconnaissance satellite[J].Journal of National University of Defense Technology,2012,34(5):32-35[点击复制] |
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| 光学成像侦察卫星威胁评估方法 |
| 张翼, 梁彦刚, 陈磊, 唐国金 |
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(国防科技大学 航天与材料工程学院，湖南 长沙 410073)
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| 摘要: |
| 未来作战中地面部队将面临越来越多来自空间的威胁，其中最突出的是侦察卫星威胁。以光学成像侦察卫星为例，进行了卫星威胁评估方法研究。首先探讨了卫星图像品质评价方法和影响因素，建立了侦察卫星对地面目标的检测概率模型，并引入光照、气象、对比度影响因子对检测概率进行修正。在此基础上考虑军事任务需求建立了针对目标尺寸已知情况下的威胁度计算模型，进一步按照目标大小划分威胁等级，给出了卫星威胁等级评价方法，所得到的威胁等级指标可为军事行动提供参考。最后给出了光学侦察卫星威胁评估应用实例。 |
| 关键词: 光学成像侦察卫星 威胁等级 威胁评估 目标检测概率 图像品质 |
| DOI： |
| 投稿日期：2012-01-25 |
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| The threat assessment method of optics imaging reconnaissance satellite |
| ZHANG Yi, LIANG Yangang, CHEN Lei, TANG Guojin |
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(College of Aerospace and Materials Engineering, National University of Defense Technology，Changsha 410073，China)
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| Abstract: |
| The ground forces have to face more and more threat from the space in future operations. The primary threat is coming from reconnaissance satellites. The threat assessment method of optics imaging reconnaissance satellite was studied. The methods to evaluate image quality of remote sensing satellites and the influence factors of image quality were discussed. The ground target discrimination probability model of optics image reconnaissance satellites was formulated, and amended by influence coefficients of illumination, weather and contrast. Taking into account military task, the expressions of threat degree were formulated when target size was given. The threat degree was then divided into several rankings according to the target size to support the military operations decision, and the evaluation method of threat ranking of optics image reconnaissance satellites was presented. Finally, the method was applied to threat evaluation of an optics image reconnaissance satellite, and the result was given. |
| Keywords: optics imaging reconnaissance satellite threat ranking threat assessment target discrimination probability image quality |
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