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- Title
Building Façade Recognition Using Oblique Aerial Images.
- Authors
Xiucheng Yang; Xuebin Qin; Jun Wang; Jianhua Wang; Xin Ye; Qiming Qin
- Abstract
This 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.
- Subjects
FACADES; AERIAL photogrammetry; AERIAL photographs; THREE-dimensional imaging; WINDOWS
- Publication
Remote Sensing, 2015, Vol 7, Issue 8, p10562
- ISSN
2072-4292
- Publication type
Article
- DOI
10.3390/rs70810562