Building Façade Recognition Using Oblique Aerial Images
AbstractThis study proposes a method to recognize façades from large-scale urban scenes based on multi-level image features utilizing a recently developed oblique aerial photogrammetry technique. The method involves the use of multi-level image features, a bottom-up feature extraction procedure to produce regions of interest through monoscopic analysis, and then a coarse-to-fine feature matching strategy to characterise and match the regions in a stereoscopic model. Feature extraction from typical urban Manhattan scenes is based on line segments. Windows are re-organised based on the spatial constraints of line segments and the homogeneous structure of the spectrum. Façades as regions of interest are successfully constructed with a remarkable single edge and evidence from windows to get rid of occlusion. Feature matching is hierarchically performed beginning from distinctive facades and regularly distributed windows to the sub-pixel point primitives. The proposed strategy can effectively solve ambiguity and multi-solution problems in the complex urban scene matching process, particularly repetitive and poor-texture façades in oblique view. View Full-Text
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Yang, X.; Qin, X.; Wang, J.; Wang, J.; Ye, X.; Qin, Q. Building Façade Recognition Using Oblique Aerial Images. Remote Sens. 2015, 7, 10562-10588.
Yang X, Qin X, Wang J, Wang J, Ye X, Qin Q. Building Façade Recognition Using Oblique Aerial Images. Remote Sensing. 2015; 7(8):10562-10588.Chicago/Turabian Style
Yang, Xiucheng; Qin, Xuebin; Wang, Jun; Wang, Jianhua; Ye, Xin; Qin, Qiming. 2015. "Building Façade Recognition Using Oblique Aerial Images." Remote Sens. 7, no. 8: 10562-10588.