Automatic road extraction from aerial images: A contemporary survey

Tien, D; Jia, W

Automatic road extraction from aerial images: A contemporary survey

Tien, D Jia, W

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Publication Type:: Conference Proceeding
Citation:: Fourth International Conference on Information Technology and Applications, ICITA 2007, 2007, pp. 294 - 299
Issue Date:: 2007-12-04

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Field	Value	Language
dc.contributor.author	Tien, D	en_US
dc.contributor.author	Jia, W https://orcid.org/0000-0002-0940-3338	en_US
dc.date.issued	2007-12-04	en_US
dc.identifier.citation	Fourth International Conference on Information Technology and Applications, ICITA 2007, 2007, pp. 294 - 299	en_US
dc.identifier.isbn	0980326702	en_US
dc.identifier.isbn	9780980326703	en_US
dc.identifier.uri	http://hdl.handle.net/10453/10754
dc.description.abstract	Wenjing Jia is currently a part-time Research Associate at the Charles Sturt University, Australia This paper describes a contemporary literature review outcomes on automatic road extraction from aerial images. The main focus is on automatic road extraction, but it also discusses the possible extension on automatic extraction of other man-made objects, such as buildings, dams, swimming pools, etc.. This paper first discusses the background of the topic, including the difficulties of the problem and the evaluation methods. Then Ave typical method currently proposed for road extraction are reviewed. Technical details are critically reviewed for future reference and comparison. The advantages and disadvantages of each approach are discussed. Based on this discussion, future work and possible methods are suggested.	en_US
dc.relation.ispartof	Fourth International Conference on Information Technology and Applications, ICITA 2007	en_US
dc.title	Automatic road extraction from aerial images: A contemporary survey	en_US
dc.type	Conference Proceeding
utslib.for	080106 Image Processing	en_US
utslib.for	080104 Computer Vision	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
dc.location.activity	Harbin, China	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Wenjing Jia is currently a part-time Research Associate at the Charles Sturt University, Australia This paper describes a contemporary literature review outcomes on automatic road extraction from aerial images. The main focus is on automatic road extraction, but it also discusses the possible extension on automatic extraction of other man-made objects, such as buildings, dams, swimming pools, etc.. This paper first discusses the background of the topic, including the difficulties of the problem and the evaluation methods. Then Ave typical method currently proposed for road extraction are reviewed. Technical details are critically reviewed for future reference and comparison. The advantages and disadvantages of each approach are discussed. Based on this discussion, future work and possible methods are suggested.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/10754