This paper investigates the problem of aerial target interception by unmanned aerial-underwater vehicles (UAUVs) in an air-sea trans-medium environment. A novel method for UAUV-based target interception is proposed, along with an information collection path planning algorithm (ICPP) and a trajectory pseudo-homotopy method (TPHM) to optimize the path planning process. The study explores how UAUVs utilize underwater acoustic sensor networks (UWASNs) to gather information on aerial targets and subsequently execute interception missions. The path planning problem is addressed by integrating Dubins path planning with the ant colony optimization (ACO) algorithm to determine the optimal sequence for information collection while avoiding obstacles. Additionally, TPHM is introduced to compute the optimal ascent trajectory, ensuring an efficient transition from underwater to aerial motion for successful interception. Simulation results demonstrate the effectiveness of the proposed approach, showing that it enhances UAUV mission execution and improves interception success rates. This research provides a novel solution for the deployment of trans-medium vehicles in complex operational environments.