Roof material detection based on object-based approach using WorldView-2 satellite imagery

One of the most important tasks in urban remote sensing is the detection of impervious surfaces (IS), such as roofs and roads. However, detection of IS in heterogeneous areas still remains one of the most challenging tasks. In this study, detection of concrete roof using an object-based approach wa...

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Main Authors: Taherzadeh, Ebrahim, Mohd Shafri, Helmi Zulhaidi, Shahi, Kaveh
Format: Article
Published: World Academy of Science, Engineering and Technology 2014
Online Access:http://psasir.upm.edu.my/id/eprint/35297/
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author Taherzadeh, Ebrahim
Mohd Shafri, Helmi Zulhaidi
Shahi, Kaveh
author_facet Taherzadeh, Ebrahim
Mohd Shafri, Helmi Zulhaidi
Shahi, Kaveh
author_sort Taherzadeh, Ebrahim
building UPM Institutional Repository
collection Online Access
description One of the most important tasks in urban remote sensing is the detection of impervious surfaces (IS), such as roofs and roads. However, detection of IS in heterogeneous areas still remains one of the most challenging tasks. In this study, detection of concrete roof using an object-based approach was proposed. A new rule-based classification was developed to detect concrete roof tile. This proposed rule-based classification was applied to WorldView-2 image and results showed that the proposed rule has good potential to predict concrete roof material from WorldView-2 images, with 85% accuracy.
first_indexed 2025-11-15T09:27:47Z
format Article
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institution Universiti Putra Malaysia
institution_category Local University
last_indexed 2025-11-15T09:27:47Z
publishDate 2014
publisher World Academy of Science, Engineering and Technology
recordtype eprints
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spelling upm-352972015-12-31T05:01:54Z http://psasir.upm.edu.my/id/eprint/35297/ Roof material detection based on object-based approach using WorldView-2 satellite imagery Taherzadeh, Ebrahim Mohd Shafri, Helmi Zulhaidi Shahi, Kaveh One of the most important tasks in urban remote sensing is the detection of impervious surfaces (IS), such as roofs and roads. However, detection of IS in heterogeneous areas still remains one of the most challenging tasks. In this study, detection of concrete roof using an object-based approach was proposed. A new rule-based classification was developed to detect concrete roof tile. This proposed rule-based classification was applied to WorldView-2 image and results showed that the proposed rule has good potential to predict concrete roof material from WorldView-2 images, with 85% accuracy. World Academy of Science, Engineering and Technology 2014 Article PeerReviewed Taherzadeh, Ebrahim and Mohd Shafri, Helmi Zulhaidi and Shahi, Kaveh (2014) Roof material detection based on object-based approach using WorldView-2 satellite imagery. International Journal of Computer, Electrical, Automation, Control and Information Engineering , 8 (10). pp. 1737-1740. ISSN 2010-376X; ESSN: 2010-3778 https://www.waset.org/Publications/?path=Publications&q=Roof+Material+Detection+Based+on+Object-Based+Approach+Using+WorldView-2+Satellite+Imagery&search=Search
spellingShingle Taherzadeh, Ebrahim
Mohd Shafri, Helmi Zulhaidi
Shahi, Kaveh
Roof material detection based on object-based approach using WorldView-2 satellite imagery
title Roof material detection based on object-based approach using WorldView-2 satellite imagery
title_full Roof material detection based on object-based approach using WorldView-2 satellite imagery
title_fullStr Roof material detection based on object-based approach using WorldView-2 satellite imagery
title_full_unstemmed Roof material detection based on object-based approach using WorldView-2 satellite imagery
title_short Roof material detection based on object-based approach using WorldView-2 satellite imagery
title_sort roof material detection based on object-based approach using worldview-2 satellite imagery
url http://psasir.upm.edu.my/id/eprint/35297/
http://psasir.upm.edu.my/id/eprint/35297/