Computer vision navigation technology will be one of the indispensable means for Unmanned Aerial Vehicles (UAVs) to take off and land autonomously due to their characteristics of high precision, not affected by electrical interference and low cost. As a new generation of navigation technology, Visual Autonomous Landing technology requires a lot of research algorithm and flight test .So it is necessary to establish a laboratory environment to verify that the scheme is feasible. In this paper, the virtual reality, visualization technology and computational visual navigation algorithm are closely combined to develop a visual autonomous landing simulation verification system for UAVs. The visual autonomous landing algorithm of UAVs in complicated 3D terrain and different weather conditions can be simulated and validated. This system can calculate and output the position and attitude parameters of UAV landing in real time .The experiment results show that: the system truly reflect the dynamic parameters of UAV during the flight and the change of attitudes, and also have a good user display and control interface. The experiment results verify the validity of vision Autonomous Landing algorithms.