The invention discloses a space target high-frequency repeated behavior identification method. The method comprises the following steps that: the motion data of a plurality of space targets are acquired; the approximate repeated tracks of each target is extracted from all the motion data according to a preset extraction rule; the deviation value of any two approximate repeated tracks of each target is calculated, and the correlation degree of each space target is calculated according to the deviation value; and a space target with high-frequency repeated behaviors is determined according to the correlation degree. According to the space target high-frequency behavior identification method based on a big data technology, a big data distributed storage and processing technology is utilized;target high-frequency repeated behaviors in massive space target data can be efficiently identified; the automatic identification of the space target high-frequency behaviors is realized; a result ispresented in a list form; and manual intervention decision is supported. The method has obvious advantages under TB and PB magnitude data conditions.
Space target high-frequency repeated behavior identification method