Automatic building rooftop extraction using a digital surface model derived from aerial stereo images,Journal of Spatial Science

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Automatic building rooftop extraction using a digital surface model derived from aerial stereo images
Journal of Spatial Science ( IF 1.0 ) Pub Date : 2020-02-05 , DOI: 10.1080/14498596.2020.1720836
Bin Wu _{1,

2} , Siyuan Wu _{1,

2} , Yong Li _{1,

2} , Jianping Wu _{1,

2} , Yan Huang _{1,

2} , Zuoqi Chen _{3,

4} , Bailang Yu _{1,

2}

Affiliation

ABSTRACT

Automatic building rooftop extraction is of great importance to many applications including building reconstruction, solar energy supply, and disaster management. This study proposes a building rooftop extraction method using DSM data generated from aerial stereo images and vegetation cover vector data. The method consists of five steps: noise filtering, dilation reconstruction, vegetation and terrain region removal, region growing and merging, and post-processing. We applied the proposed method to the centre of Shanghai, China, a typical urban area. Experimental results show that the proposed method can successfully extract building rooftops, with an approximately 82.6% quality percentage and 96.2% matched overlay.

更新日期：2020-02-05

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