首页|多源遥感数据在战场环境智能态势感知的现状及展望

多源遥感数据在战场环境智能态势感知的现状及展望

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
面对复杂战场环境信息的快速变化,及时全面准确地掌握复杂战场环境态势,是未来打赢信息化战争的前提条件.为了探索多源遥感数据对战场环境态势感知的发展方向,基于广泛调研战场环境态势感知的遥感需求,首先对战场环境态势智能感知的概念和内涵进行了阐述,然后对多源遥感数据的处理与战场态势感知应用现状进行概述,分析了遥感在战场态势智能感知面临的挑战,最后提炼总结了遥感在战场态势感知的进展和发展趋势.遥感为战场环境态势感知提供多种观测数据,遥感与人工智能算法结合可以为军事战场环境态势感知提供多种应用,为指挥人员决策提供数据支持,但仍然存在大量挑战需要解决.在分析现阶段成果和面临挑战的基础上,提出了遥感在战场环境智能态势感知的前瞻,指出了基于遥感的深度学习可解释性和智慧战场是遥感在战场智能态势感知发展所面临的困难.
Current status and prospect of multisource remote sensing data in battlefield environment intelligent situational awareness
In the face of the rapid change of complex battlefield environment information,grasping the situational awareness of complex battlefield environment in a timely,comprehensive and accurate manner is the prerequisite for winning the information war in the future.In order to explore the development direction of multi-source remote sensing data in battlefield environment situational awareness,on the basis of extensive investigation of remote sensing requirements for battlefield environment situational awareness,we firstly expounded the concept and connotation of battlefield environment situational awareness,then gave an overview of multi-source remote sensing data processing and battlefield situational awareness applications.Next,we analyzed the challenges,progress and development trend of remote sensing in battlefield environment situational awareness.In general,remote sensing provides a variety of observation data for battlefield environment situational awareness,and the combination of remote sensing and artificial intelligence algorithm can provide a variety of applications for military battlefield environment situational awareness and offer data assistance to commanders for decision-making.However,there are still a lot of challenges to be solved.Based on the analysis of the current achievements and challenges,we put forward the prospect of remote sensing in the battlefield environment situational awareness,and pointed out that the interpretability of deep learning based on remote sensing and the intelligent battlefield are the difficulties to break through the development of remote sensing in the battlefield environment situational awareness.

battlefield environmentintelligent situational awarenessartificial intelligenceremote sensingsmart battlefield

邵振峰、党超亚、张红萍、吴长枝、齐晓飞、黄俊

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武汉大学测绘遥感信息工程国家重点实验室,武汉 430079

西安测绘研究所,西安 710054

陆军装备部驻武汉地区第二军事代表室,武汉 430000

战场环境 智能态势感知 人工智能 遥感 智慧战场

国家自然科学基金重点项目广西科技计划项目江西省03专项及5G项目珠海市产学研合作项目四川省关键技术攻关项目武汉大学知卓时空智能研究基金灾害天气国家重点实验室开放课题

42090012桂科2021AB3001920212ABC03A09ZH22017001210098PWC2022YFN0031ZZJJ2022022021LASW-A17

2024

10.16708/j.cnki.1000-758X.2024.0002

中国空间科学技术
中国空间技术研究院

中国空间科学技术

CSTPCD北大核心
影响因子：0.404
ISSN：1000-758X
年,卷(期)：2024.44(1)
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