军事领域细粒度识别技术与应用

战争的信息化程度不断加深对军事侦察提出了更高要求。军事目标识别作为军事侦察的主要任务之一,需要能够处理细粒度军事目标,为人员提供更加详细的目标信息。但传统的粗粒度目标识别方法无法得到目标的细粒度信息。因此,如何识别细粒度目标成为目前军事侦察亟需解决的问题。针对该问题,本文结合军事领域的实际需求,对细粒度识别技术的发展现状进行了分析,提出了军事领域细粒度识别技术应用流程的数据集构建、模型设计和终端部署三个阶段,同时,从无人机侦察、遥感侦察和单兵侦察三个方向分析了细粒度识别的应用前景。经过分析,军事领域细粒度识别技术已经具备实际运用条件,具备良好的应用价值。

Using fine-grained recognition technology in the military domain

More stringent requirements are placed on military reconnaissance as the use of informatization in war continues to grow. A major task and critical requirement of military reconnaissance is to recognize fine-grained military targets and provide military commanders with detailed information. Traditional methods of recognition can recognize only coarse-grained targets and cannot obtain information on fine-grained targets. To solve this problem, this paper analyzes the status of development of fine-grained recognition technology in combination with the needs of the military and proposes its use for military reconnaissance. The process consists of three stages: dataset construction, model design, and terminal deployment. Prospects for the application of fine-grained target identification to the military is analyzed from the three perspectives of UAV reconnaissance, remote sensing reconnaissance, and individual reconnaissance. The results of the analysis show the promise offered by the use of fine-grained recognition technology in the military domain.