Evaluating automatic road detection across a large aerial imagery collection
Guo, Xufeng, Dean, David B., Denman, Simon, Fookes, Clinton B., & Sridharan, Sridha (2011) Evaluating automatic road detection across a large aerial imagery collection. In Proceedings of the 2011 International Conference of Digital Image Computing: Techniques and Applications, IEEE, Sheraton Noosa Resort & Spa, Noosa, QLD, pp. 140-145.
The automated extraction of roads from aerial imagery can be of value for tasks including mapping, surveillance and change detection. Unfortunately, there are no public databases or standard evaluation protocols for evaluating these techniques. Many techniques are further hindered by a reliance on manual initialisation, making large scale application of the techniques impractical. In this paper, we present a public database and evaluation protocol for the evaluation of road extraction algorithms, and propose an improved automatic seed finding technique to initialise road extraction, based on a combination of geometric and colour features.
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|Item Type:||Conference Paper|
|Keywords:||Automatic Road Detection, Database|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2011 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||13 Dec 2011 23:14|
|Last Modified:||21 Feb 2017 14:45|
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