TITLE:
Automatic Extraction of Urban Road Centerlines from High-Resolution Satellite Imagery Using Automatic Thresholding and Morphological Operation Method
AUTHORS:
Abdur Raziq, Aigong Xu, Yu Li
KEYWORDS:
Automatic Thresholding, High-Resolution Imagery, Morphological Operation, Posts Processing, Thinning Algorithm, Urban Road Centerlines Extraction
JOURNAL NAME:
Journal of Geographic Information System,
Vol.8 No.4,
August
24,
2016
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.