Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 419-423, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/419/2016/
doi:10.5194/isprs-archives-XLI-B3-419-2016
 
09 Jun 2016
AUTOMATIC EXTRACTION OF BUILDING OUTLINE FROM HIGH RESOLUTION AERIAL IMAGERY
Yandong Wang EagleView Technology Corp. 25 Methodist Hill Dr., Rochester, NY 14623, USA
Keywords: Point Cloud, Extraction, Building, Image, Outline, Automation Abstract. In this paper, a new approach for automated extraction of building boundary from high resolution imagery is proposed. The proposed approach uses both geometric and spectral properties of a building to detect and locate buildings accurately. It consists of automatic generation of high quality point cloud from the imagery, building detection from point cloud, classification of building roof and generation of building outline. Point cloud is generated from the imagery automatically using semi-global image matching technology. Buildings are detected from the differential surface generated from the point cloud. Further classification of building roof is performed in order to generate accurate building outline. Finally classified building roof is converted into vector format. Numerous tests have been done on images in different locations and results are presented in the paper.
Conference paper (PDF, 1390 KB)


Citation: Wang, Y.: AUTOMATIC EXTRACTION OF BUILDING OUTLINE FROM HIGH RESOLUTION AERIAL IMAGERY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 419-423, doi:10.5194/isprs-archives-XLI-B3-419-2016, 2016.

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