Straight road edge detection from high-resolution remote sensing images based on the ridgelet transform with the revised parallel-beam Radon transform

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Title Straight road edge detection from high-resolution remote sensing images based on the ridgelet transform with the revised parallel-beam Radon transform
Author Li, Xiaofeng; Zhang, Shuqing; Pan, Xin; Dale, Patricia Ellen; Cropp, Roger Allan
Journal Name International Journal of Remote Sensing
Year Published 2010
Place of publication United Kingdom
Publisher Taylor & Francis
Abstract Roads are important basic geographical phenomena and the automatic recogni- tion and extraction of road features from remote sensing images has many applica- tions. However, automated road extraction from high-resolution remote sensing imagery is problematic. In recent years, many approaches have been explored for automatic road extraction, particularly involving road edge detection. Traditional edge detection operators such as the Canny or the Sobel operator are used frequently but there are serious problems of over- or underdetection, and time- consuming and complicated post-processing work is often required. In this paper, a new revised parallel-beam Radon transform (RPRT) approach is proposed. The traditional PRT can have problems with step values, resulting in false edge detec- tion. To overcome these problems we introduced the RPRT, using the harmonic average of the pixel value in every strip of the Radon slice. An algorithm suitable for straight edge detection of roads in high-resolution remote sensing imagery was designed based on the ridgelet transform with the RPRT. The experimental results show that our algorithm can detect straight road edges efficiently and accurately, and avoid cumbersome and complicated post-processing work.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1080/01431160903283835
Copyright Statement Copyright 2010 Routledge. This is an electronic version of an article published in International Journal of Remote Sensing, Vol. 31(19), pp. 5041-5059. International Journal of Remote Sensing is available online at: http://www.informaworld.com with the open URL of your article.
Volume 31
Issue Number 19
Page from 5041
Page to 5059
ISSN 1366-5901
Date Accessioned 2010-12-09
Date Available 2012-09-14T01:34:20Z
Language en_US
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Photogrammetry and Remote Sensing
URI http://hdl.handle.net/10072/37242
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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