Journal of Geographic Information System

Volume 8, Issue 4 (August 2016)

ISSN Print: 2151-1950   ISSN Online: 2151-1969

Google-based Impact Factor: 1.58  Citations  h5-index & Ranking

Automatic Extraction of Urban Road Centerlines from High-Resolution Satellite Imagery Using Automatic Thresholding and Morphological Operation Method

HTML  XML Download Download as PDF (Size: 774KB)  PP. 517-525  
DOI: 10.4236/jgis.2016.84043    1,925 Downloads   3,064 Views   Citations

ABSTRACT

The commercial high-resolution imaging satellite with 1 m spatial resolution IKONOS is an important data source of information for urban planning and geographical information system (GIS) applications. In this paper, a morphological method is proposed. The proposed method combines the automatic thresholding and morphological operation techniques to extract the road centerline of the urban environment. This method intends to solve urban road centerline problems, vehicle, vegetation, building etc. Based on this morphological method, an object extractor is designed to extract road networks from highly remote sensing images. Some filters are applied in this experiment such as line reconstruction and region filling techniques to connect the disconnected road segments and remove the small redundant. Finally, the thinning algorithm is used to extract the road centerline. Experiments have been conducted on a high-resolution IKONOS and QuickBird images showing the efficiency of the proposed method.

Cite this paper

Raziq, A. , Xu, A. and Li, Y. (2016) Automatic Extraction of Urban Road Centerlines from High-Resolution Satellite Imagery Using Automatic Thresholding and Morphological Operation Method. Journal of Geographic Information System, 8, 517-525. doi: 10.4236/jgis.2016.84043.

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.