Development of transferable rule-sets for urban areas using QuickBird satellite imagery
Although rule-based object-based classification can often perform better than the supervised approaches, its attribute selection is very time consuming and hardly transferable between different urban areas. The purpose of this study is to identify transferable rule-sets for different areas from Quic...
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my.upm.eprints.296242016-08-03T03:37:57Z http://psasir.upm.edu.my/id/eprint/29624/ Development of transferable rule-sets for urban areas using QuickBird satellite imagery Tathiri, Anahita Mohd Shafri, Helmi Zulhaidi Hamedianfar, Alireza Although rule-based object-based classification can often perform better than the supervised approaches, its attribute selection is very time consuming and hardly transferable between different urban areas. The purpose of this study is to identify transferable rule-sets for different areas from QuickBird satellite imagery for urban areas consisting heterogeneous man-made and natural features. Object-based classification was used in this research, and a mathematical method was proposed for rule transferability for different urban areas. IEEE 2014 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/29624/1/Development%20of%20transferable%20rule-sets%20for%20urban%20areas%20using%20QuickBird%20satellite%20imagery.pdf Tathiri, Anahita and Mohd Shafri, Helmi Zulhaidi and Hamedianfar, Alireza (2014) Development of transferable rule-sets for urban areas using QuickBird satellite imagery. In: 2014 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES 2014), 13-14 Nov. 2014, Sheraton Mustika Hotel, Yogyakarta, Indonesia. (pp. 229-233). 10.1109/ICARES.2014.7024390 |
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Although rule-based object-based classification can often perform better than the supervised approaches, its attribute selection is very time consuming and hardly transferable between different urban areas. The purpose of this study is to identify transferable rule-sets for different areas from QuickBird satellite imagery for urban areas consisting heterogeneous man-made and natural features. Object-based classification was used in this research, and a mathematical method was proposed for rule transferability for different urban areas. |
format |
Conference or Workshop Item |
author |
Tathiri, Anahita Mohd Shafri, Helmi Zulhaidi Hamedianfar, Alireza |
spellingShingle |
Tathiri, Anahita Mohd Shafri, Helmi Zulhaidi Hamedianfar, Alireza Development of transferable rule-sets for urban areas using QuickBird satellite imagery |
author_facet |
Tathiri, Anahita Mohd Shafri, Helmi Zulhaidi Hamedianfar, Alireza |
author_sort |
Tathiri, Anahita |
title |
Development of transferable rule-sets for urban areas using QuickBird satellite imagery |
title_short |
Development of transferable rule-sets for urban areas using QuickBird satellite imagery |
title_full |
Development of transferable rule-sets for urban areas using QuickBird satellite imagery |
title_fullStr |
Development of transferable rule-sets for urban areas using QuickBird satellite imagery |
title_full_unstemmed |
Development of transferable rule-sets for urban areas using QuickBird satellite imagery |
title_sort |
development of transferable rule-sets for urban areas using quickbird satellite imagery |
publisher |
IEEE |
publishDate |
2014 |
url |
http://psasir.upm.edu.my/id/eprint/29624/1/Development%20of%20transferable%20rule-sets%20for%20urban%20areas%20using%20QuickBird%20satellite%20imagery.pdf http://psasir.upm.edu.my/id/eprint/29624/ |
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