This paper mainly investigates a Detection-Field Coupling APF (DFC-APF) path planning algorithm for multi-area detection path planning of unmanned aerial vehicle (UAV). First, the dynamic potential field model is developed to adaptively adjust field strength based on detection progress, enabling autonomous transitions between multiple detection areas. Second, the detection-field coupling model is proposed by integrating directional radar detection probability with potential field navigation to optimize both path planning and sensing efficiency. Third, the non-linear depth-potential mapping function is employed to facilitate smooth inter-area transitions and improve overall detection performance. Simulation results confirm that the developed multi-area detection planning method based on the improved APF algorithm has satisfactory performance.