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: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2014
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| Online Access: | 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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| Institution: | Universiti Putra Malaysia |
| Language: | English |
| Summary: | 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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