The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Apr 2018)

BUILDING EXTRACTION BASED ON OPENSTREETMAP TAGS AND VERY HIGH SPATIAL RESOLUTION IMAGE IN URBAN AREA

  • L. Kang,
  • L. Kang,
  • Q. Wang,
  • H. W. Yan,
  • H. W. Yan

DOI
https://doi.org/10.5194/isprs-archives-XLII-3-715-2018
Journal volume & issue
Vol. XLII-3
pp. 715 – 718

Abstract

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How to derive contour of buildings from VHR images is the essential problem for automatic building extraction in urban area. To solve this problem, OSM data is introduced to offer vector contour information of buildings which is hard to get from VHR images. First, we import OSM data into database. The line string data of OSM with tags of building, amenity, office etc. are selected and combined into completed contours; Second, the accuracy of contours of buildings is confirmed by comparing with the real buildings in Google Earth; Third, maximum likelihood classification is conducted with the confirmed building contours, and the result demonstrates that the proposed approach is effective and accurate. The approach offers a new way for automatic interpretation of VHR images.