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Title:
URBAN BUILDING SPACE DATA-BASED BUILT-UP AREA BOUNDARY IDENTIFICATION METHOD AND DEVICE
Document Type and Number:
WIPO Patent Application WO/2020/233152
Kind Code:
A1
Abstract:
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.

Inventors:
YANG JUNYAN (CN)
SHAO DIAN (CN)
SUN RUIQI (CN)
SHI BEIXIANG (CN)
CAO JUN (CN)
Application Number:
PCT/CN2020/071905
Publication Date:
November 26, 2020
Filing Date:
January 14, 2020
Export Citation:
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Assignee:
UNIV SOUTHEAST (CN)
International Classes:
G06K9/00
Foreign References:
CN110135351A2019-08-16
CN108009201A2018-05-08
CN108520142A2018-09-11
CN105095888A2015-11-25
US20150221128A12015-08-06
Other References:
胡斌斌 等 (HU, BINBIN ET AL.): "地名注记的街区式居民地边界提取方法 (the Method of Street-Block Settlement Boundary Extraction Based on Geographic Name Annotation)", 测绘科学 (SCIENCE OF SURVEYING AND MAPPING), vol. 43, no. 8, 31 August 2018 (2018-08-31), XP55756558
Attorney, Agent or Firm:
NANJING SUGAO PATENT AND TRADEMARK FIRM ( ORDINARY PARTNERSHIP ) (CN)
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