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author:

Xu, R. (Xu, R..) [1]

Indexed by:

Scopus

Abstract:

An integrated method for road centerline extraction has been proposed in this paper which consists of four main steps. First, the Graph Cut algorithm using proposed similarity function is employed to segment the image, and the segmented image is thresholded to initial binary skeleton. Second, the road skeleton is refined by using a series of morphology operations and shape features. Third, the curvilinear feature of road skeleton is detected by a set of multiple filtering detectors. Finally,a regression method is performed to extract smooth and accurate road centerlines. Validation tests show that the proposed method is able to achieve a comparatively good performance in road centerline extraction from high spatial resolution satellite images. © 2016, Ubiquitous International. All Rights Reserved.

Keyword:

Curvilinear structure; Graph cut; High resolution image; Regression method; Road centerline extraction

Community:

  • [ 1 ] [Xu, R.]Key Lab of Spatial Data Mining & Information Sharing of Ministry of Education, Spatial Information Research Center of Fujian Province, Fuzhou University, No.523, Gongye Road, Fuzhou, 350002, China
  • [ 2 ] [Xu, R.]College of Information Science and Engineering, Fujian University of Technology, No.3, Xueyuan Road, University Town, Fuzhou, 350108, China
  • [ 3 ] [Xu, R.]Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, No.3, Xueyuan Road, University Town, Fuzhou, 350108, China

Reprint 's Address:

  • [Xu, R.]Key Lab of Spatial Data Mining & Information Sharing of Ministry of Education, Spatial Information Research Center of Fujian Province, Fuzhou University, No.523, Gongye Road, China

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Source :

Journal of Information Hiding and Multimedia Signal Processing

ISSN: 2073-4212

Year: 2016

Issue: 5

Volume: 7

Page: 1069-1080

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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