针对传统的目标识别已不能适应信息化战争的需求，**变形伪装目标的识别技术亟待加强等问题，对变形伪装**目标的识别技术进行分析与研究，采用SIFT算子进行图像特征提取并匹配，采用快速排序法对识别目标按照相似度排序，并开发了一套**变形伪装识别系统。通过系统测试可知，该系统能够有效地在海量图像库中识别出存在变形伪装的**目标，并能够找出相似的**目标，按照相似程度将这些目标排序，具有很好的应用价值。

In view of the traditional target recognition cannot meet the needs of information warfare, military deformation camouflage target identification technology needs to be strengthened and other issues. In this paper, the identification technology of the distortion camouflage military target is analyzed and studied. The SIFT operator is used to extract and match the image feature. The fast sorting method is used to sort the recognition target according to the similarity degree, and a set of military deformation camouflage recognition system is developed. Through the system test, it can be seen that the system can effectively identify the military targets with distortion camouflage in the mass image library, and can find similar military targets, sort them according to the similarity degree.