Building Façade Recognition Using Oblique Aerial Images

Remote Sensing

Xiucheng Yang²  Xuebin Qin²  Jun Wang²  Jianhua Wang²  Xin Ye²  Qiming Qin¹  Devrim Akca²  Richard Gloaguen² 

[1] Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871, China;

关键词: multi-level feature;    coarse-to-fine strategy;    spatial relationship;    oblique aerial photogrammetry;    façade information;   

DOI  :  10.3390/rs70810562

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.