In this article, a three-axis stable platform control method based on a lightweight, low-precision global navigation satellite system (GNSS), inertial measurement unit (IMU) system, and proportion integration and differentiation (PID) algorithm is proposed to solve the stable imaging issues of a low-altitude unmanned airship aerial remote sensing system. The system utilizes a lightweight GNSS/IMU, which work with a dual global positioning system (GPS), connecting the camera system and flight platform through a three-axis stabilization platform, employing a PID control method with an open-loop control approach, and implementing stabilization control using a system-on-chip microcontroller for 32-bit (STM32) control chip circuit to address the camera attitude stabilization issue in the unmanned airship remote sensing system. The stability of the system is verified by a flight test, and the experimental results also show that the method can effectively isolate the effect of the instability of the unmanned airship attitude on the imaging system and effectively improve the imaging quality, which is of considerable significance for improving the accuracy of the unmanned airship aerial survey system.