Modern Defense Technology ›› 2021, Vol. 49 ›› Issue (5): 26-31.DOI: 10.3969/j.issn.1009-086x.2021.05.004

• MILITARY INTELLIGENCE • Previous Articles     Next Articles

Applications of Artificial Intelligence on the Optical Earth Observation

YAO Bao-yin, MAO Lei, XIAO Ke, QU Hui   

  1. The Second Academy of CASIC,X Lab,Beijing 100854,China
  • Received:2021-05-06 Revised:2021-07-20 Online:2021-10-20 Published:2021-11-01

人工智能技术在光学对地观测领域应用探讨

姚保寅, 毛磊, 肖柯, 曲徽   

  1. 中国航天科工集团第二研究院 未来实验室,北京 100854
  • 作者简介:姚保寅(1986-),男,河北沧州人。高工,博士,主要从事新概念系统和作战概念研究。通信地址:100854 北京海淀区永定路50号院东院南门 E-mail:yaobaoyin123@163.com

Abstract: Regarded as one of the “game-changing” cutting-edge technologies by military powers,artificial intelligence(AI) has the potential to process data efficiently and provide battlefield situation information quickly for earth observation.Firstly,the developing state of AI and its optical application on earth observation are briefly analyzed.Then,the application of AI on space-based and air-based optical earth observation is studied from several aspects,such as information collecting and information processing.Finally,the trends of AI applications on the optical earth observation are summarized.The research results can be the reference for AI application on the optical earth observation in China.

Key words: artificial intelligence(AI), optical earth observation, big data, machine learning, deep learning, information processing

摘要: 人工智能技术被各军事强国视为“改变游戏规则”的尖端技术之一,具有实现对地观测领域高效数据处理和快速提供战场态势信息的潜力。简要分析了人工智能的技术发展态势及其在光学对地观测领域的应用态势,并在此基础上,从信息采集、信息处理等环节,深入研究了人工智能在天基和空基光学对地观测领域的应用场景。归纳了人工智能在光学对地观测领域应用的趋势。本文可为我国发展人工智能技术在光学对地观测领域的应用提供参考。

关键词: 人工智能, 光学对地观测, 大数据, 机器学习, 深度学习, 信息处理

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