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...
| Main Authors: | , , |
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| Format: | Article |
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World Academy of Science, Engineering and Technology
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/35297/ |
| _version_ | 1848848015288172544 |
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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 |
| id | upm-35297 |
| 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 |
| repository_type | Digital Repository |
| 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/ |