An urban building space data-based built-up area boundary identification method and a device. The method comprises the following steps: 1) inputting urban building space vector data into a geographic information processing platform; 2) determining a critical value for distinguishing whether buildings are interlocked; 3) generating building interlocking regions; and 4) screening a group of building interlocking regions having the greatest building area value, and exporting a boundary contour line of said building interlocking regions. The defects that an existing identification method is time-consuming, a large amount of manpower is involved, boundary identification relies on human brain determination and is thus extremely arbitrary, the image quality is highly required and the like are overcome; an urban built-up area boundary is identified with high prevision by means of data clustering analysis and spatial aggregation, and various index data and vector analysis requirements required in the urban development and construction current situation assessment and planning field are efficiently and accurately met.
URBAN BUILDING SPACE DATA-BASED BUILT-UP AREA BOUNDARY IDENTIFICATION METHOD AND DEVICE