Research of Urban Building Recognition Method based on Line Features Matching

doi:10.11873/j.issn.1004-0323.2012.2.190

Remote Sensing Technology and Application

2012, Vol. 27

Issue (2): 190-196 DOI: 10.11873/j.issn.1004-0323.2012.2.190

Research of Urban Building Recognition Method based on Line Features Matching

Li Songlin¹,Fan Haisheng²,Chen Xiuwan¹

(1.Institution of Remote Sensing and GIS,Peking University,Beijing 100871,China;2.Research Center of Remote Sensing Cloud Services,Institute of Remote Sensing Application,Chinese Academy of Sciences,Dongguan 520808,China)

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Abstract

With the popularity of cell phones having functions of GPS positioning,navigation and camera,there exist increasing demands for real-time identification of urban buildings with mobile terminals.In this paper,image processing algorithms for urban buildings recognition,including SIFT and Local Search,were discussed and compared in details to show that contour lines and their combinations are stable geometric features of buildings,so the algorithms based on contour lines immune to affine transformation,low picture qualities and lens distortion.Besides,the match index based on contour lines can reflect the camera position change.As a result,Local Search was improved;firstly getting the building contour lines by abstracted from pictures photographed by mobile terminals and generated from the 3D-database,secondly utilizing it to find some of the best matches between those contour lines.The improved algorithm can meet the demand of fast building recognition in mobile terminals .

Key words: Urban building recognition SIFT Local Search Line features matching Sky-line of construction

Received: 11 April 2011 Published: 23 January 2013

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Cite this article:

Li Songlin,Fan Haisheng,Chen Xiuwan. Research of Urban Building Recognition Method based on Line Features Matching. Remote Sensing Technology and Application, 2012, 27(2): 190-196.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2012.2.190 OR http://www.rsta.ac.cn/EN/Y2012/V27/I2/190

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