A Star-corner Algorithm for Building Extraction in Satellite/aerial Images
نویسندگان
چکیده
This paper presents a novel approach for extraction of rooftops in satellite/aerial imageries. This method is semiautomatic in which a point inside each rooftop must be identified by the user. The method utilizes corners and star algorithm to generate a set of rooftop outlines that are assessed and refined through an energy minimization process. The energy of each rooftop candidate is computed using color invariant models of rooftops’ inside and outside regions. A refinement process is incorporated that employs color values to fit rooftop outlines to their best potential locations. The proposed algorithm is a clean and efficient method that can cope with angular surfaces (gabled rooftops) or arbitrary illumination conditions. Experimental results for images of Richmond, BC, verify an average shape accuracy of 95%.
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