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Automatic reconstruction of regular buildings using a shape‐based balloon snake model
Author(s) -
Yari Diako,
Mokhtarzade Mehdi,
Ebadi Hamid,
Ahmadi Salman
Publication year - 2014
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/phor.12060
Subject(s) - photogrammetry , computer science , active contour model , computer vision , artificial intelligence , extraction (chemistry) , balloon , representation (politics) , image (mathematics) , image segmentation , medicine , chemistry , chromatography , politics , political science , law , cardiology
Buildings are regarded as the most prominent man‐made objects: hence, their automatic extraction from aerial and satellite images has attracted the interest of photogrammetric research communities. In this paper, a balloon snake, a well‐known active contour model, was developed for the precise extraction of building boundaries. Traditional active contours are highly sensitive to image data and are problematic when building boundaries are weakened, usually due to occlusions. To improve the efficiency of the traditional balloon snake model, a shape‐based balloon snake model was introduced where knowledge about the expected geometrical shape of buildings was modelled and applied to the traditional snake representation. Implementation of the proposed algorithm confirmed its efficiency in the precise extraction of building boundaries. Experimental results and the qualitative and quantitative evaluations demonstrate the potential of the proposed shape‐based balloon snake model and its superiority over traditional models.