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Remote Sens. 2015, 7(8), 10562-10588; doi:10.3390/rs70810562

Building Façade Recognition Using Oblique Aerial Images

Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871, China
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Academic Editors: Devrim Akca, Richard Gloaguen and Prasad S. Thenkabail
Received: 18 March 2015 / Revised: 30 July 2015 / Accepted: 7 August 2015 / Published: 18 August 2015

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. View Full-Text
Keywords: multi-level feature; coarse-to-fine strategy; spatial relationship; oblique aerial photogrammetry; façade information multi-level feature; coarse-to-fine strategy; spatial relationship; oblique aerial photogrammetry; façade information
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

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.

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