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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Main Authors: Tathiri, Anahita, Mohd Shafri, Helmi Zulhaidi, Hamedianfar, Alireza
Format: Conference or Workshop Item
Language:English
Published: IEEE 2014
Online Access:http://psasir.upm.edu.my/id/eprint/29624/1/Development%20of%20transferable%20rule-sets%20for%20urban%20areas%20using%20QuickBird%20satellite%20imagery.pdf
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author Tathiri, Anahita
Mohd Shafri, Helmi Zulhaidi
Hamedianfar, Alireza
author_facet Tathiri, Anahita
Mohd Shafri, Helmi Zulhaidi
Hamedianfar, Alireza
author_sort Tathiri, Anahita
collection UPM
description 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.
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institution Universiti Putra Malaysia
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spelling 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
spellingShingle Tathiri, Anahita
Mohd Shafri, Helmi Zulhaidi
Hamedianfar, Alireza
Development of transferable rule-sets for urban areas using QuickBird satellite imagery
title 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_short 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
url http://psasir.upm.edu.my/id/eprint/29624/1/Development%20of%20transferable%20rule-sets%20for%20urban%20areas%20using%20QuickBird%20satellite%20imagery.pdf
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