Abstract: Rapid prediction of aerodynamic characteristics is one of the key technologies in the multidisciplinary optimization design for hypersonic vehicles. Currently, engineering calculation methods for hypersonic aerodynamic characteristics have been widely applied to conventional aerodynamic configurations such as lifting bodies and wing-body combinations. However, for novel aerodynamic configurations like high-pressure capturing wing (HCW), where strong aerodynamic interaction exists between components, traditional engineering methods are challenging to apply effectively. To address this issue, this paper combines computational fluid dynamics (CFD) techniques, proper orthogonal decomposition (POD), and radial basis function surrogate modeling to propose an efficient and accurate rapid prediction method for the surface flow field of HCW. Based on this method, a framework for rapid prediction of aerodynamic characteristics is constructed. Following the basic design principles of HCW, considering key geometric parameters and incoming flow conditions, validation studies were conducted on typical HCW configurations to predict complex pressure distributions on the lower surface of the capturing wing. The results indicate that when retaining 13 POD basis modes, the average relative error between the wing surface pressure obtained by the proposed rapid prediction method and CFD calculation is approximately 1.6%, with an aerodynamic force prediction error of approximately 0.3%. Further increasing the number of POD basis modes does not effectively improve prediction accuracy. This method significantly enhances computational efficiency while maintaining high accuracy in flow field reconstruction and prediction.