NDLI: Utilizing edge to extract roads in high-resolution satellite imagery

Content Provider	IEEE Xplore Digital Library
Author	Yongguan Xiao Tiow-Seng Tan Seng-Chuan Tay
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore (Yongguan Xiao; Tiow-Seng Tan)
Abstract	Although edge detectors are useful for delineating the road areas in an image, no previous work in road extraction has demonstrated a comprehensive use of edge information. In this paper we propose a semi-automatic scheme that makes use of edge information to extract roads in high-resolution satellite images. A novel edge thinning and division algorithm is first applied to process edges in an image. With such processed edges, texture information, color information together with the user assistance, the proposed scheme is able to extract roads from an image with high reliability. This scheme can also make use of knowledge about road network topology to locate road areas. Experiments on high-resolution satellite images of different environmental settings show that our proposed scheme achieves high accuracy in identifying road areas.
File Size	222634
File Format	PDF
ISBN	0780391349
DOI	10.1109/ICIP.2005.1529831
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-14
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Satellites Roads Image edge detection Data mining Image segmentation Detectors Network topology Filtering algorithms Joining processes Computer science
Content Type	Text
Resource Type	Article

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