Abstract: The development status of urban built-up areas is an important part of geographic condition monitoring. This paper extracts urban built-up areas based on remote sensing image data and POI data, and studies their applicability. Shenyang is chosen as the research area, and 2016 remote sensing image data and POI data are selected as data sources for comparative study. Firstly, the remote sensing image data and POI data are preprocessed. Secondly, the built-up area of remote sensing image is extracted by supervised classification method. Then, the POI data are analyzed by kernel density estimation method and the built-up area is extracted. Finally, the applicability of these two data is compared and analyzed by superposition analysis method. The results show that using remote sensing image data as data source can reflect the development status of urban built-up areas comprehensively and objectively, and the urban built-up areas extracted from POI data have strong economic attributes, which can well reflect the economic active areas in cities.

Key words: urban built-up area, point of interest, supervised classification, kernel density estimation, extraction