Abstract:Target recognition based on infrared multiple features is one of the key technologies in ballistic missile defense systems. Because in complex scenarios, a single radiation feature and its transformation or a single temperature feature and its transformation are difficult to achieve the correct target recognition for all targets. Therefore, multiple features are needed for target fusion identification to improve the accuracy of identification. In this paper, the typical scenario is set, the Adaboost algorithm is used to identify the target by infrared radiation intensity characteristics and temperature characteristics respectively, then, based on the coarse recognition results, the weight of the classifier is adjusted to identify the target. The recognition results are satisfactory, approving feasibility and validity of the
method.