Battlefield situation assessment method and system based on deep learning

The invention discloses a battlefield situation assessment method and system based on deep learning, and the method can form organized, hierarchical, highly-targeted and emphasized knowledge expression based on a deep learning network according to a large amount of battlefield real-time perception data, and carries out the reasonable situation assessment. The method can provide an accurate and comprehensive visual impression of a battlefield global situation for a commander macroscopically, and provides support for combat decisions of all levels. The method is simple, is easy for hardware implementation, is an engineering method with high universality, and can be applied to situation assessment of combined battlefields such as land, sea, air, sky, network and the like. 本发明公开一种基于深度学习的战场态势评估方法和系统，该方法能够基于深度学习网络根据大量战场实时感知数据形成有条理、有层次、针对性强、重点突出的知识表达，做出合理的态势评估，能在宏观上为指挥员提供准确、全面的战场全局态势的直观印象，为各个层次的作战决策提供支持。本发明方法简单，易于硬件实现，是一种普适性很强的工程方法，可应用于陆、海、空、天、网等联合战场态势评估。