Review of Building Extraction Methods Based on High-Resolution Remote Sensing Images

With the continuous advancement of the construction of smart cities, the efficient acquisition and automatic extraction of building information is very important. Building extraction based on high-resolution remote sensing images is an important subject in current remote sensing technology. This paper summarizes the building extraction methods of high-resolution remote sensing images, describes them from traditional methods and deep learning-based methods respectively, and summarizes the evaluation indicators, advantages and disadvantages and application scope of each method. The potential of automation, efficiency and precision of high-resolution building extraction in the future is also discussed.