Williams, N, Quincey, D and Stillwell, J (2016) Automatic Classification of Roof Objects From Aerial Imagery of Informal Settlements in Johannesburg. Applied Spatial Analysis and Policy, 9 (2). pp. 269-281. ISSN 1874-463X
Abstract
Improving the planning and provision of public services for those living in informal settlements depends on the availability of accurate demographic information. However, such data frequently do not exist because traditional survey and census methods are rarely successful in these environments. In this paper, the use of automatic feature extraction from aerial imagery is proposed as an alternative to these ground-based methods. We focus on the identification of roof and non-roof objects in an informal settlement called Diepsloot, situated close to Johannesburg in South Africa and home to approximately 200,000 people. Reference data provided by City Johannesburg Metropolitan Municipality authority is used to validate the results of our automated analysis, which achieved an overall accuracy of 80.5 % when compared to manual delineation.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer Science+Business Media Dordrecht 2015. This is an author produced version of a paper published in Applied Spatial Analysis and Policy. The final publication is available at Springer via http://dx.doi.org/10.1007/s12061-015-9158-y. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Informal settlements, Roof objects, Feature extraction, Aerial images, Population estimation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Dec 2015 15:39 |
Last Modified: | 25 Oct 2016 03:14 |
Published Version: | http://dx.doi.org/10.1007/s12061-015-9158-y |
Status: | Published |
Publisher: | Springer Verlag |
Identification Number: | 10.1007/s12061-015-9158-y |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:92949 |