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Road network extraction with new vectorization and pruning from high-resolution RS images

Jin, Hang, Feng, Yanming, & Li, Bofeng (2008) Road network extraction with new vectorization and pruning from high-resolution RS images. In Image and Vision Computing New Zealand, 2008. IVCNZ 2008. 23rd International Conference, IEEE , Lincoln University, Christchurch, New Zealand, pp. 1-6.

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Abstract

With the increasing resolution of remote sensing images, road network can be displayed as continuous and homogeneity regions with a certain width rather than traditional thin lines. Therefore, road network extraction from large scale images refers to reliable road surface detection instead of road line extraction. In this paper, a novel automatic road network detection approach based on the combination of homogram segmentation and mathematical morphology is proposed, which includes three main steps: (i) the image is classified based on homogram segmentation to roughly identify the road network regions; (ii) the morphological opening and closing is employed to fill tiny holes and filter out small road branches; and (iii) the extracted road surface is further thinned by a thinning approach, pruned by a proposed method and finally simplified with Douglas-Peucker algorithm. Lastly, the results from some QuickBird images and aerial photos demonstrate the correctness and efficiency of the proposed process.

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ID Code: 31180
Item Type: Conference Paper
Keywords: road detection, homogram, mathematical morphology, remote sensing image
DOI: 10.1109/IVCNZ.2008.4762104
ISBN: 9781424437801
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > GEOMATIC ENGINEERING (090900) > Photogrammetry and Remote Sensing (090905)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > GEOMATIC ENGINEERING (090900) > Geospatial Information Systems (090903)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2008 IEEE.
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 08 Mar 2010 14:38
Last Modified: 29 Feb 2012 23:48

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