Abstract: Impervious surface index can effectively measure the level of urbanization in a region. At the same time, because of the expansion of urban scale, more impervious surface replaces the natural permeable landscape previously covered with vegetation, which, in cities, leads to rainstorm, water logging, ecological environmental security risks, arousing widespread concern of society and academia. How to accurately and quickly grasp the temporal and spatial distributions of impervious surface is a practical problem to be solved in urban management planning and environmental protection. Some progress has been made in remote sensing technology in recent years. Its advantages of fast speed, large range, multi-scale and repeatable earth observation provide a good solution to the problem of impervious surface extraction information that, based on remote sensing technology, can help people quickly understand the dynamic development of the city. Taking Ruili City as the study area, the V-H-L-S model is used to accurately and rapidly extract impervious surface information of 2014 and 2018 by masking the permeable surface. The test accuracy is more than 92%, and the Kappa coefficient is greater than 0.8. The results show that the V-H-L-S model can effectively evaluate the urban development speed of Ruili City. From 2014 to 2018, the impervious surface of Ruili City showed an expansion trend, and the City's area expanded by 40.11%. The impervious surface of Ruili City is unevenly distributed, mainly in the southern part of the city.