摘要
随着空间目标数量逐渐增多、空间系统功能日趋复杂、空间事件发生更加频繁、空间系统行为意图愈加难辨,空间安全环境越发复杂、多变且充满不确定性,对空间态势感知系统的全面性、精细性、及时性和深入性提出了新要求。人工智能技术能够提高信息获取、信息处理、信息呈现和分发的质量和速度,将为空间态势感知系统应对上述要求提供重要支撑。为提高人工智能技术在空间态势感知系统中的应用效果,下一步应树立知识-数据混合驱动的应用理念、强化人机互相学习深度交互的应用模式、建设空间安全环境模拟仿真的应用条件。
With the increasing population of space objects,increasing complication of space systems,increasingrate of space events and increasing vagueness of space systems intention,the space security environment is becoming more complex,dynamic and uncertain and proposes more request on the coverage,fineness,timeliness and thoroughness of space situational awareness systems.Artificial intelligence technology can enhance the quality and speed of information acquisition,information processing,information presentation and information dissemination which provides vital support for space situational systems to meet the aforementioned requests.The application philosophy of data-driven and knowledge-driven,the application mode of human-machine learning from each other and interacting deeply,the application conditions of space security environment simulation should enhance to improve the application effects of artificial intelligence technology to space situational awareness systems.
作者
张昌芳
毕兴
ZHANG Chang-fang;BI Xing(College of Advanced Interdisciplinary Studies,National University of Defense Technology,Changsha 410074,China)
出处
《空间碎片研究》
2021年第2期52-57,共6页
Space Debris Research
关键词
空间态势感知
人工智能
深度学习
space situational awareness
artificial intelligence
deep learning
